diff --git a/001628/SchwerdtLab/001628_ephys_tutorial.ipynb b/001628/SchwerdtLab/001628_ephys_tutorial.ipynb
new file mode 100644
index 0000000..6f9868e
--- /dev/null
+++ b/001628/SchwerdtLab/001628_ephys_tutorial.ipynb
@@ -0,0 +1,1545 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "15d40881-1175-4c7a-b30c-5f8a67a5eecf",
+   "metadata": {},
+   "source": [
+    "# DANDI:001628 NWB tutorial\n",
+    "\n",
+    "This tutorial demonstrates how to access an NWB file from [DANDI:001268](https://dandiarchive.org/dandiset/001628/draft) for the study detailed in [_\"Microinvasive Probes for Monitoring Electrical and Chemical Neural Activity in Nonhuman Primates\"_](https://www.biorxiv.org/content/10.1101/2025.01.30.635139v1.full.pdf).\n",
+    "\n",
+    "This dataset contains in vivo **electrophysiology \\(EPhys\\)** and  **fast\\-scan cyclic voltammetry \\(FSCV\\)** measurements from micro-invasive probes chronically implanted in the striatum of task-performing rhesus monkeys. These modalities were recorded in separate sessions (i\\.e\\., a given NWB file contains either EPhys or FSCV as the primary recording modality, not both simultaneously).\n",
+    "\n",
+    "This notebook demonstrates how to access:\n",
+    "- **Raw FSCV** in `acquisition` (e\\.g\\., `FSCVResponseSeries`) and the applied waveform in `stimulus` (e\\.g\\., `FSCVExcitationSeries`)\n",
+    "- **Derived trial\\-aligned FSCV signals** in `processing/fscv` (e\\.g\\., dopamine, pH, motion, oxidation current)\n",
+    "- **Behavioral** data included in the same session (e\\.g\\., eye tracking, trials, and event annotations)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "562ec0b37fe2934e",
+   "metadata": {},
+   "source": "### Import Required Libraries"
+  },
+  {
+   "cell_type": "code",
+   "id": "88e4411de2bddb56",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:49:14.339325Z",
+     "start_time": "2026-01-07T12:49:05.474103Z"
+    }
+   },
+   "source": [
+    "# Core data manipulation and analysis\n",
+    "import os\n",
+    "\n",
+    "import h5py\n",
+    "\n",
+    "# Visualization\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import remfile\n",
+    "\n",
+    "# NWB and DANDI access\n",
+    "from dandi.dandiapi import DandiAPIClient\n",
+    "from matplotlib.ticker import ScalarFormatter\n",
+    "from pynwb import NWBHDF5IO\n",
+    "\n",
+    "# Configure matplotlib\n",
+    "plt.rcParams['font.size'] = 10"
+   ],
+   "outputs": [],
+   "execution_count": 2
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f047f21d288d497d",
+   "metadata": {},
+   "source": [
+    "# Streaming an NWB file\n",
+    "\n",
+    "This section demonstrates how to stream an NWB file from the DANDI Archive using `remfile` and `pynwb`.\n",
+    "\n",
+    "To access an embargoed dataset on DANDI, you will need to obtain a DANDI API key by creating an account on the [DANDI Archive](https://dandiarchive.org/) and copying the API key from your account.\n",
+    "\n",
+    "See the DANDI documentation for more details:\n",
+    "https://docs.dandiarchive.org/user-guide-sharing/uploading-data/#storing-access-credentials"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "e8e33d05edcd7470",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:50:13.698373Z",
+     "start_time": "2026-01-07T12:50:00.607926Z"
+    }
+   },
+   "source": [
+    "# Load session data from DANDI\n",
+    "dandiset_id = \"001628\"\n",
+    "subject_id = \"Monkey-T\"\n",
+    "session_id = \"09262024\"\n",
+    "\n",
+    "filepath = f\"sub-{subject_id}/sub-{subject_id}_ses-{session_id}_behavior+ecephys.nwb\"\n",
+    "\n",
+    "# This is only needed if you are accessing an embargoed dataset\n",
+    "# 1) Sets env var for the notebook kernel and subprocesses\n",
+    "# os.environ[\"DANDI_API_KEY\"] = \"\"\n",
+    "\n",
+    "token = os.environ.get(\"DANDI_API_KEY\")\n",
+    "with DandiAPIClient(token=token) as client:\n",
+    "    asset = client.get_dandiset(dandiset_id, 'draft').get_asset_by_path(filepath)\n",
+    "    s3_url = asset.get_content_url(follow_redirects=1, strip_query=False)\n",
+    "\n",
+    "# Create a disk cache to store downloaded data (optional)\n",
+    "cache_dirname = '/tmp/remfile_cache'\n",
+    "disk_cache = remfile.DiskCache(cache_dirname)\n",
+    "\n",
+    "# open the file\n",
+    "rem_file = remfile.File(s3_url, disk_cache=disk_cache)\n",
+    "h5py_file = h5py.File(rem_file, \"r\")\n",
+    "io = NWBHDF5IO(file=h5py_file)\n",
+    "# read the NWB file\n",
+    "nwbfile = io.read()\n"
+   ],
+   "outputs": [],
+   "execution_count": 4
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c1004cd6-7b07-44a3-8f0c-5f41e1f9b5c3",
+   "metadata": {},
+   "source": [
+    "### Session start time\n",
+    "\n",
+    "All timestamps in the NWB file are represented as relative times (in seconds) from the session start time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "0d92ff8f-5caf-4455-b770-b68ff42f2986",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:51:00.068586Z",
+     "start_time": "2026-01-07T12:51:00.038792Z"
+    }
+   },
+   "source": [
+    "print(nwbfile.session_start_time)"
+   ],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-09-26 09:01:38-04:00\n"
+     ]
+    }
+   ],
+   "execution_count": 5
+  },
+  {
+   "cell_type": "markdown",
+   "id": "50ccf486-5d62-4e51-ad40-19369a2fd101",
+   "metadata": {},
+   "source": [
+    "# Subject\n",
+    "\n",
+    "This section demonstrates how to access the [Subject](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.Subject) field in an NWBFile.\n",
+    "\n",
+    "The [Subject](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.Subject) field can be accessed as `nwbfile.subject`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "d02c7fa5-0a1c-4857-b468-a8f724767a5c",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:51:03.219935Z",
+     "start_time": "2026-01-07T12:51:03.196594Z"
+    }
+   },
+   "source": [
+    "nwbfile.subject"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "subject pynwb.file.Subject at 0x4778697664\n",
+       "Fields:\n",
+       "  age: P11Y\n",
+       "  age__reference: birth\n",
+       "  description: Two adult female rhesus monkeys were used for in vivo validation of the s-µIP device, with chronic implants targeting the striatum for simultaneous FSCV and EPhys recordings during behavioral tasks.\n",
+       "  sex: F\n",
+       "  species: Macaca mulatta\n",
+       "  subject_id: Monkey T"
+      ],
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "            .container-fields {\n",
+       "                font-family: \"Open Sans\", Arial, sans-serif;\n",
+       "            }\n",
+       "            .container-fields .field-value {\n",
+       "                color: #00788E;\n",
+       "            }\n",
+       "            .container-fields details > summary {\n",
+       "                cursor: pointer;\n",
+       "                display: list-item;\n",
+       "            }\n",
+       "            .container-fields details > summary:hover {\n",
+       "                color: #0A6EAA;\n",
+       "            }\n",
+       "        </style>\n",
+       "        \n",
+       "        <script>\n",
+       "            function copyToClipboard(text) {\n",
+       "                navigator.clipboard.writeText(text).then(function() {\n",
+       "                    console.log('Copied to clipboard: ' + text);\n",
+       "                }, function(err) {\n",
+       "                    console.error('Could not copy text: ', err);\n",
+       "                });\n",
+       "            }\n",
+       "\n",
+       "            document.addEventListener('DOMContentLoaded', function() {\n",
+       "                let fieldKeys = document.querySelectorAll('.container-fields .field-key');\n",
+       "                fieldKeys.forEach(function(fieldKey) {\n",
+       "                    fieldKey.addEventListener('click', function() {\n",
+       "                        let accessCode = fieldKey.getAttribute('title').replace('Access code: ', '');\n",
+       "                        copyToClipboard(accessCode);\n",
+       "                    });\n",
+       "                });\n",
+       "            });\n",
+       "        </script>\n",
+       "        <div class='container-wrap'><div class='container-header'><div class='xr-obj-type'><h3>subject (Subject)</h3></div></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".age\">age: </span><span class=\"field-value\">P11Y</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".age__reference\">age__reference: </span><span class=\"field-value\">birth</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".description\">description: </span><span class=\"field-value\">Two adult female rhesus monkeys were used for in vivo validation of the s-µIP device, with chronic implants targeting the striatum for simultaneous FSCV and EPhys recordings during behavioral tasks.</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".sex\">sex: </span><span class=\"field-value\">F</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".species\">species: </span><span class=\"field-value\">Macaca mulatta</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject_id\">subject_id: </span><span class=\"field-value\">Monkey T</span></div></div>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 6
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8eb306a6-63f6-456b-b7c6-f521a6cd630f",
+   "metadata": {},
+   "source": [
+    "# Access Recording\n",
+    "\n",
+    "This section demonstrates how to access the raw `ElectricalSeries` data.\n",
+    "\n",
+    "`NWB` organizes data into different groups depending on the type of data. Groups can be thought of as folders within the file. Here are some of the groups within an NWBFile and the types of data they are intended to store:\n",
+    "\n",
+    "- `acquisition`: raw, acquired data that should never change\n",
+    "- `processing`: processed data, typically the results of preprocessing algorithms and could change\n",
+    "\n",
+    "## Raw ElectricalSeries\n",
+    "\n",
+    "The raw ElectricalSeries data is stored in an [pynwb.ecephys.ElectricalSeries](https://pynwb.readthedocs.io/en/stable/pynwb.ecephys.html#pynwb.ecephys.ElectricalSeries) object which is added to `nwbfile.acquisition`. The data can be accessed as `nwbfile.acquisition[\"electrical_series\"]`.\n",
+    "\n",
+    "The data in `ElectricalSeries` is stored as a two dimensional array: the first dimension is time, the second dimension represents electrodes/channels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "c7d9c953-e1f8-40dc-a1e1-a93268f5b460",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:51:16.623657Z",
+     "start_time": "2026-01-07T12:51:16.612248Z"
+    }
+   },
+   "source": [
+    "electrical_series = nwbfile.acquisition[\"electrical_series\"]"
+   ],
+   "outputs": [],
+   "execution_count": 7
+  },
+  {
+   "cell_type": "code",
+   "id": "f78cf350-a174-456a-a623-12f392c7e61b",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:51:26.086399Z",
+     "start_time": "2026-01-07T12:51:18.065844Z"
+    }
+   },
+   "source": [
+    "# Extract data\n",
+    "rate = electrical_series.rate\n",
+    "data = electrical_series.data[:5000, :10]\n",
+    "timestamps = electrical_series.get_timestamps()[:5000]\n",
+    "channel_names = electrical_series.electrodes[\"location\"][:]\n",
+    "\n",
+    "# Create plot\n",
+    "fig, ax = plt.subplots(figsize=(10, 2), dpi=200)\n",
+    "\n",
+    "# Plot each channel\n",
+    "for i, ch_name in enumerate(channel_names):\n",
+    "    ax.plot(timestamps, data[:, i], label=ch_name, linewidth=0.8)\n",
+    "\n",
+    "# Style\n",
+    "ax.set_title('ElectricalSeries')\n",
+    "ax.set_xlabel('Time (s)')\n",
+    "ax.set_frame_on(False)\n",
+    "ax.tick_params(left=False, labelleft=False)\n",
+    "ax.legend(frameon=False, loc='upper right', ncol=2, fontsize=8)\n",
+    "\n",
+    "formatter = ScalarFormatter(useOffset=False)\n",
+    "formatter.set_scientific(False)\n",
+    "ax.xaxis.set_major_formatter(formatter)\n",
+    "\n",
+    "ax.legend(\n",
+    "    frameon=False,\n",
+    "    loc='center left',         # anchor to the left side\n",
+    "    bbox_to_anchor=(1.02, 0.5),# move outside the axes\n",
+    "    ncol=1,\n",
+    "    fontsize=8\n",
+    ")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 2000x400 with 1 Axes>"
+      ],
+      "image/png": "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"
+     },
+     "metadata": {},
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
+    }
+   ],
+   "execution_count": 8
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55c2a386-d97d-4d25-b322-01440b1e2f8b",
+   "metadata": {},
+   "source": [
+    "The electrodes table describe the electrodes that generated this data. Extracellular electrodes are stored in an \"electrodes\" table, which is a [DynamicTable](https://hdmf.readthedocs.io/en/stable/hdmf.common.table.html#hdmf.common.table.DynamicTable) and can be can be converted to a pandas DataFrame for convenient analysis using `nwbfile.electrodes.to_dataframe()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "b93b6a51-2f95-4f1f-9ca6-707af2f5a2ad",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:51:29.575528Z",
+     "start_time": "2026-01-07T12:51:28.239481Z"
+    }
+   },
+   "source": [
+    "nwbfile.electrodes.to_dataframe()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "   location                                              group  \\\n",
+       "id                                                               \n",
+       "0      c3bs  ElectrodeGroup pynwb.ecephys.ElectrodeGroup at...   \n",
+       "1       c3a  ElectrodeGroup pynwb.ecephys.ElectrodeGroup at...   \n",
+       "\n",
+       "        group_name channel_name DSPLowCutFilterEnabled RecordSize  \\\n",
+       "id                                                                  \n",
+       "0   ElectrodeGroup        CSC37                   True       1044   \n",
+       "1   ElectrodeGroup        CSC38                   True       1044   \n",
+       "\n",
+       "    DspHighCutNumTaps  DspHighCutFrequency  DspFilterDelay_µs  \\\n",
+       "id                                                              \n",
+       "0                 256                 8000               3984   \n",
+       "1                 256                 8000               3984   \n",
+       "\n",
+       "       recording_opened  ... DspLowCutFrequency input_inverted  FileType  \\\n",
+       "id                       ...                                               \n",
+       "0   2024-09-26 09:01:38  ...                0.1          False       NCS   \n",
+       "1   2024-09-26 09:01:38  ...                0.1          False       NCS   \n",
+       "\n",
+       "   DspLowCutFilterType DSPHighCutFilterEnabled     recording_closed  \\\n",
+       "id                                                                    \n",
+       "0                  DCO                    True  2024-09-26 16:02:14   \n",
+       "1                  DCO                    True  2024-09-26 16:02:14   \n",
+       "\n",
+       "   DspLowCutNumTaps DspHighCutFilterType  ADMaxValue InputRange  \n",
+       "id                                                               \n",
+       "0                 0                  FIR       32767       1000  \n",
+       "1                 0                  FIR       32767       1000  \n",
+       "\n",
+       "[2 rows x 22 columns]"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>location</th>\n",
+       "      <th>group</th>\n",
+       "      <th>group_name</th>\n",
+       "      <th>channel_name</th>\n",
+       "      <th>DSPLowCutFilterEnabled</th>\n",
+       "      <th>RecordSize</th>\n",
+       "      <th>DspHighCutNumTaps</th>\n",
+       "      <th>DspHighCutFrequency</th>\n",
+       "      <th>DspFilterDelay_µs</th>\n",
+       "      <th>recording_opened</th>\n",
+       "      <th>...</th>\n",
+       "      <th>DspLowCutFrequency</th>\n",
+       "      <th>input_inverted</th>\n",
+       "      <th>FileType</th>\n",
+       "      <th>DspLowCutFilterType</th>\n",
+       "      <th>DSPHighCutFilterEnabled</th>\n",
+       "      <th>recording_closed</th>\n",
+       "      <th>DspLowCutNumTaps</th>\n",
+       "      <th>DspHighCutFilterType</th>\n",
+       "      <th>ADMaxValue</th>\n",
+       "      <th>InputRange</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>c3bs</td>\n",
+       "      <td>ElectrodeGroup pynwb.ecephys.ElectrodeGroup at...</td>\n",
+       "      <td>ElectrodeGroup</td>\n",
+       "      <td>CSC37</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1044</td>\n",
+       "      <td>256</td>\n",
+       "      <td>8000</td>\n",
+       "      <td>3984</td>\n",
+       "      <td>2024-09-26 09:01:38</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NCS</td>\n",
+       "      <td>DCO</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2024-09-26 16:02:14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>FIR</td>\n",
+       "      <td>32767</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>c3a</td>\n",
+       "      <td>ElectrodeGroup pynwb.ecephys.ElectrodeGroup at...</td>\n",
+       "      <td>ElectrodeGroup</td>\n",
+       "      <td>CSC38</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1044</td>\n",
+       "      <td>256</td>\n",
+       "      <td>8000</td>\n",
+       "      <td>3984</td>\n",
+       "      <td>2024-09-26 09:01:38</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NCS</td>\n",
+       "      <td>DCO</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2024-09-26 16:02:14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>FIR</td>\n",
+       "      <td>32767</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2 rows × 22 columns</p>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 9
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c46a2b0-da8d-4ac4-a9e3-8990a97c77f8",
+   "metadata": {},
+   "source": [
+    "## Filtered ElectricalSeries\n",
+    "\n",
+    "\n",
+    "The processed ecephys data is stored in \"processing/ecephys\" which can be accessed as `nwbfile.processing[\"ecephys\"]`.\n",
+    "Within this processing module we can access the container of filtered traces as `nwbfile.processing[\"ecephys\"][\"FilteredEphys\"]` which can hold multiple processed `ElectricalSeries` objects."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "38fc679b-7c90-461b-b70f-c6e9464bd73d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:51:32.614149Z",
+     "start_time": "2026-01-07T12:51:32.333615Z"
+    }
+   },
+   "source": [
+    "nwbfile.processing[\"ecephys\"]"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "ecephys pynwb.base.ProcessingModule at 0x4778695648\n",
+       "Fields:\n",
+       "  data_interfaces: {\n",
+       "    FilteredEphys <class 'pynwb.ecephys.FilteredEphys'>\n",
+       "  }\n",
+       "  description: Intermediate data from extracellular electrophysiology recordings, e.g., LFP."
+      ],
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "            .container-fields {\n",
+       "                font-family: \"Open Sans\", Arial, sans-serif;\n",
+       "            }\n",
+       "            .container-fields .field-value {\n",
+       "                color: #00788E;\n",
+       "            }\n",
+       "            .container-fields details > summary {\n",
+       "                cursor: pointer;\n",
+       "                display: list-item;\n",
+       "            }\n",
+       "            .container-fields details > summary:hover {\n",
+       "                color: #0A6EAA;\n",
+       "            }\n",
+       "        </style>\n",
+       "        \n",
+       "        <script>\n",
+       "            function copyToClipboard(text) {\n",
+       "                navigator.clipboard.writeText(text).then(function() {\n",
+       "                    console.log('Copied to clipboard: ' + text);\n",
+       "                }, function(err) {\n",
+       "                    console.error('Could not copy text: ', err);\n",
+       "                });\n",
+       "            }\n",
+       "\n",
+       "            document.addEventListener('DOMContentLoaded', function() {\n",
+       "                let fieldKeys = document.querySelectorAll('.container-fields .field-key');\n",
+       "                fieldKeys.forEach(function(fieldKey) {\n",
+       "                    fieldKey.addEventListener('click', function() {\n",
+       "                        let accessCode = fieldKey.getAttribute('title').replace('Access code: ', '');\n",
+       "                        copyToClipboard(accessCode);\n",
+       "                    });\n",
+       "                });\n",
+       "            });\n",
+       "        </script>\n",
+       "        <div class='container-wrap'><div class='container-header'><div class='xr-obj-type'><h3>ecephys (ProcessingModule)</h3></div></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".description\">description: </span><span class=\"field-value\">Intermediate data from extracellular electrophysiology recordings, e.g., LFP.</span></div><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\"['FilteredEphys']\"><b>FilteredEphys <span style='font-weight: normal; color: #888;'>(FilteredEphys)</span></b></summary><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\"['FilteredEphys']['bipolar_lfp_series']\"><b>bipolar_lfp_series <span style='font-weight: normal; color: #888;'>(ElectricalSeries)</span></b></summary><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].resolution\">resolution: </span><span class=\"field-value\">-1.0</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].comments\">comments: </span><span class=\"field-value\">no comments</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].description\">description: </span><span class=\"field-value\">Beta-band LFP was computed from bipolar EPhys measurements (Neuralynx, Digital Lynx SX) made by pairs of electrodes, with the signal representing the voltage difference between site c3bs with respect to c3a.</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].conversion\">conversion: </span><span class=\"field-value\">3.0517578125e-08</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].offset\">offset: </span><span class=\"field-value\">0.0</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].unit\">unit: </span><span class=\"field-value\">volts</span></div><details><summary style=\"display: list-item; margin-left: 40px;\" class=\"container-fields field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].data\"><b>data</b></summary><div style=\"margin-left: 60px;\" class=\"container-fields\">HDF5 dataset<br><table class=\"data-info\"><tbody><tr><th style=\"text-align: left\">Data type</th><td style=\"text-align: left\">float64</td></tr><tr><th style=\"text-align: left\">Shape</th><td style=\"text-align: left\">(19247100, 1)</td></tr><tr><th style=\"text-align: left\">Array size</th><td style=\"text-align: left\">146.84 MiB</td></tr><tr><th style=\"text-align: left\">Chunk shape</th><td style=\"text-align: left\">(1250000, 1)</td></tr><tr><th style=\"text-align: left\">Compression</th><td style=\"text-align: left\">gzip</td></tr><tr><th style=\"text-align: left\">Compression opts</th><td style=\"text-align: left\">4</td></tr><tr><th style=\"text-align: left\">Uncompressed size (bytes)</th><td style=\"text-align: left\">153976800</td></tr><tr><th style=\"text-align: left\">Compressed size (bytes)</th><td style=\"text-align: left\">146969490</td></tr><tr><th style=\"text-align: left\">Compression ratio</th><td style=\"text-align: left\">1.0476786712670774</td></tr></tbody></table></div></details><details><summary style=\"display: list-item; margin-left: 40px;\" class=\"container-fields field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].timestamps\"><b>timestamps</b></summary><div style=\"margin-left: 60px;\" class=\"container-fields\">HDF5 dataset<br><table class=\"data-info\"><tbody><tr><th style=\"text-align: left\">Data type</th><td style=\"text-align: left\">float64</td></tr><tr><th style=\"text-align: left\">Shape</th><td style=\"text-align: left\">(19247100,)</td></tr><tr><th style=\"text-align: left\">Array size</th><td style=\"text-align: left\">146.84 MiB</td></tr><tr><th style=\"text-align: left\">Chunk shape</th><td style=\"text-align: left\">(1250000,)</td></tr><tr><th style=\"text-align: left\">Compression</th><td style=\"text-align: left\">gzip</td></tr><tr><th style=\"text-align: left\">Compression opts</th><td style=\"text-align: left\">4</td></tr><tr><th style=\"text-align: left\">Uncompressed size (bytes)</th><td style=\"text-align: left\">153976800</td></tr><tr><th style=\"text-align: left\">Compressed size (bytes)</th><td style=\"text-align: left\">36560881</td></tr><tr><th style=\"text-align: left\">Compression ratio</th><td style=\"text-align: left\">4.21151776949795</td></tr></tbody></table></div></details><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].timestamps_unit\">timestamps_unit: </span><span class=\"field-value\">seconds</span></div><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].interval\">interval: </span><span class=\"field-value\">1</span></div><details><summary style=\"display: list-item; margin-left: 40px;\" class=\"container-fields field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].electrodes\"><b>electrodes <span style='font-weight: normal; color: #888;'>(DynamicTableRegion)</span></b></summary><div style=\"margin-left: 60px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].electrodes.description\">description: </span><span class=\"field-value\">LFP electrodes table region</span></div><details><summary style=\"display: list-item; margin-left: 60px;\" class=\"container-fields field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].electrodes.table\"><b>table <span style='font-weight: normal; color: #888;'>(ElectrodesTable)</span></b></summary><div style=\"margin-left: 80px;\" class=\"container-fields\"><span class=\"field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].electrodes.table\">description: </span><span class=\"field-value\">metadata about extracellular electrodes</span></div><details><summary style=\"display: list-item; margin-left: 80px;\" class=\"container-fields field-key\" title=\"['FilteredEphys']['bipolar_lfp_series'].electrodes.table\"><b>table</b></summary><table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>location</th>\n",
+       "      <th>group</th>\n",
+       "      <th>group_name</th>\n",
+       "      <th>channel_name</th>\n",
+       "      <th>DSPLowCutFilterEnabled</th>\n",
+       "      <th>RecordSize</th>\n",
+       "      <th>DspHighCutNumTaps</th>\n",
+       "      <th>DspHighCutFrequency</th>\n",
+       "      <th>DspFilterDelay_µs</th>\n",
+       "      <th>recording_opened</th>\n",
+       "      <th>NumADChannels</th>\n",
+       "      <th>DspDelayCompensation</th>\n",
+       "      <th>DspLowCutFrequency</th>\n",
+       "      <th>input_inverted</th>\n",
+       "      <th>FileType</th>\n",
+       "      <th>DspLowCutFilterType</th>\n",
+       "      <th>DSPHighCutFilterEnabled</th>\n",
+       "      <th>recording_closed</th>\n",
+       "      <th>DspLowCutNumTaps</th>\n",
+       "      <th>DspHighCutFilterType</th>\n",
+       "      <th>ADMaxValue</th>\n",
+       "      <th>InputRange</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>c3bs</td>\n",
+       "      <td>ElectrodeGroup pynwb.ecephys.ElectrodeGroup at 0x4778698000\\nFields:\\n  description: The group of electrodes from the EPhys system (Neuralynx, Digital Lynx SX) implanted in the striatum.\\n  device: device_ecephys pynwb.device.Device at 0x4778696992\\nFields:\\n  description: Neuralynx recording\\n\\n  location: striatum\\n</td>\n",
+       "      <td>ElectrodeGroup</td>\n",
+       "      <td>CSC37</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1044</td>\n",
+       "      <td>256</td>\n",
+       "      <td>8000</td>\n",
+       "      <td>3984</td>\n",
+       "      <td>2024-09-26 09:01:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NCS</td>\n",
+       "      <td>DCO</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2024-09-26 16:02:14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>FIR</td>\n",
+       "      <td>32767</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>c3a</td>\n",
+       "      <td>ElectrodeGroup pynwb.ecephys.ElectrodeGroup at 0x4778698000\\nFields:\\n  description: The group of electrodes from the EPhys system (Neuralynx, Digital Lynx SX) implanted in the striatum.\\n  device: device_ecephys pynwb.device.Device at 0x4778696992\\nFields:\\n  description: Neuralynx recording\\n\\n  location: striatum\\n</td>\n",
+       "      <td>ElectrodeGroup</td>\n",
+       "      <td>CSC38</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1044</td>\n",
+       "      <td>256</td>\n",
+       "      <td>8000</td>\n",
+       "      <td>3984</td>\n",
+       "      <td>2024-09-26 09:01:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NCS</td>\n",
+       "      <td>DCO</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2024-09-26 16:02:14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>FIR</td>\n",
+       "      <td>32767</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table></details></details></details></details></details></div>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 10
+  },
+  {
+   "cell_type": "code",
+   "id": "a6165db9-a548-45cc-b5d7-1aebc3fcc9e1",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:51:36.192939Z",
+     "start_time": "2026-01-07T12:51:36.173307Z"
+    }
+   },
+   "source": [
+    "processed_ecephys = nwbfile.processing[\"ecephys\"][\"FilteredEphys\"]\n",
+    "\n",
+    "bipolar_lfp_series = processed_ecephys[\"bipolar_lfp_series\"]\n",
+    "bipolar_lfp_series"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "bipolar_lfp_series pynwb.ecephys.ElectricalSeries at 0x4783643280\n",
+       "Fields:\n",
+       "  comments: no comments\n",
+       "  conversion: 3.0517578125e-08\n",
+       "  data: <HDF5 dataset \"data\": shape (19247100, 1), type \"<f8\">\n",
+       "  description: Beta-band LFP was computed from bipolar EPhys measurements (Neuralynx, Digital Lynx SX) made by pairs of electrodes, with the signal representing the voltage difference between site c3bs with respect to c3a.\n",
+       "  electrodes: electrodes <class 'hdmf.common.table.DynamicTableRegion'>\n",
+       "  interval: 1\n",
+       "  offset: 0.0\n",
+       "  resolution: -1.0\n",
+       "  timestamps: <HDF5 dataset \"timestamps\": shape (19247100,), type \"<f8\">\n",
+       "  timestamps_unit: seconds\n",
+       "  unit: volts"
+      ],
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "            .container-fields {\n",
+       "                font-family: \"Open Sans\", Arial, sans-serif;\n",
+       "            }\n",
+       "            .container-fields .field-value {\n",
+       "                color: #00788E;\n",
+       "            }\n",
+       "            .container-fields details > summary {\n",
+       "                cursor: pointer;\n",
+       "                display: list-item;\n",
+       "            }\n",
+       "            .container-fields details > summary:hover {\n",
+       "                color: #0A6EAA;\n",
+       "            }\n",
+       "        </style>\n",
+       "        \n",
+       "        <script>\n",
+       "            function copyToClipboard(text) {\n",
+       "                navigator.clipboard.writeText(text).then(function() {\n",
+       "                    console.log('Copied to clipboard: ' + text);\n",
+       "                }, function(err) {\n",
+       "                    console.error('Could not copy text: ', err);\n",
+       "                });\n",
+       "            }\n",
+       "\n",
+       "            document.addEventListener('DOMContentLoaded', function() {\n",
+       "                let fieldKeys = document.querySelectorAll('.container-fields .field-key');\n",
+       "                fieldKeys.forEach(function(fieldKey) {\n",
+       "                    fieldKey.addEventListener('click', function() {\n",
+       "                        let accessCode = fieldKey.getAttribute('title').replace('Access code: ', '');\n",
+       "                        copyToClipboard(accessCode);\n",
+       "                    });\n",
+       "                });\n",
+       "            });\n",
+       "        </script>\n",
+       "        <div class='container-wrap'><div class='container-header'><div class='xr-obj-type'><h3>bipolar_lfp_series (ElectricalSeries)</h3></div></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".resolution\">resolution: </span><span class=\"field-value\">-1.0</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".comments\">comments: </span><span class=\"field-value\">no comments</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".description\">description: </span><span class=\"field-value\">Beta-band LFP was computed from bipolar EPhys measurements (Neuralynx, Digital Lynx SX) made by pairs of electrodes, with the signal representing the voltage difference between site c3bs with respect to c3a.</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".conversion\">conversion: </span><span class=\"field-value\">3.0517578125e-08</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".offset\">offset: </span><span class=\"field-value\">0.0</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".unit\">unit: </span><span class=\"field-value\">volts</span></div><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".data\"><b>data</b></summary><div style=\"margin-left: 20px;\" class=\"container-fields\">HDF5 dataset<br><table class=\"data-info\"><tbody><tr><th style=\"text-align: left\">Data type</th><td style=\"text-align: left\">float64</td></tr><tr><th style=\"text-align: left\">Shape</th><td style=\"text-align: left\">(19247100, 1)</td></tr><tr><th style=\"text-align: left\">Array size</th><td style=\"text-align: left\">146.84 MiB</td></tr><tr><th style=\"text-align: left\">Chunk shape</th><td style=\"text-align: left\">(1250000, 1)</td></tr><tr><th style=\"text-align: left\">Compression</th><td style=\"text-align: left\">gzip</td></tr><tr><th style=\"text-align: left\">Compression opts</th><td style=\"text-align: left\">4</td></tr><tr><th style=\"text-align: left\">Uncompressed size (bytes)</th><td style=\"text-align: left\">153976800</td></tr><tr><th style=\"text-align: left\">Compressed size (bytes)</th><td style=\"text-align: left\">146969490</td></tr><tr><th style=\"text-align: left\">Compression ratio</th><td style=\"text-align: left\">1.0476786712670774</td></tr></tbody></table></div></details><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".timestamps\"><b>timestamps</b></summary><div style=\"margin-left: 20px;\" class=\"container-fields\">HDF5 dataset<br><table class=\"data-info\"><tbody><tr><th style=\"text-align: left\">Data type</th><td style=\"text-align: left\">float64</td></tr><tr><th style=\"text-align: left\">Shape</th><td style=\"text-align: left\">(19247100,)</td></tr><tr><th style=\"text-align: left\">Array size</th><td style=\"text-align: left\">146.84 MiB</td></tr><tr><th style=\"text-align: left\">Chunk shape</th><td style=\"text-align: left\">(1250000,)</td></tr><tr><th style=\"text-align: left\">Compression</th><td style=\"text-align: left\">gzip</td></tr><tr><th style=\"text-align: left\">Compression opts</th><td style=\"text-align: left\">4</td></tr><tr><th style=\"text-align: left\">Uncompressed size (bytes)</th><td style=\"text-align: left\">153976800</td></tr><tr><th style=\"text-align: left\">Compressed size (bytes)</th><td style=\"text-align: left\">36560881</td></tr><tr><th style=\"text-align: left\">Compression ratio</th><td style=\"text-align: left\">4.21151776949795</td></tr></tbody></table></div></details><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".timestamps_unit\">timestamps_unit: </span><span class=\"field-value\">seconds</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".interval\">interval: </span><span class=\"field-value\">1</span></div><details><summary style=\"display: list-item; margin-left: 0px;\" class=\"container-fields field-key\" title=\".electrodes\"><b>electrodes <span style='font-weight: normal; color: #888;'>(DynamicTableRegion)</span></b></summary><div style=\"margin-left: 20px;\" class=\"container-fields\"><span class=\"field-key\" title=\".electrodes.description\">description: </span><span class=\"field-value\">LFP electrodes table region</span></div><details><summary style=\"display: list-item; margin-left: 20px;\" class=\"container-fields field-key\" title=\".electrodes.table\"><b>table <span style='font-weight: normal; color: #888;'>(ElectrodesTable)</span></b></summary><div style=\"margin-left: 40px;\" class=\"container-fields\"><span class=\"field-key\" title=\".electrodes.table\">description: </span><span class=\"field-value\">metadata about extracellular electrodes</span></div><details><summary style=\"display: list-item; margin-left: 40px;\" class=\"container-fields field-key\" title=\".electrodes.table\"><b>table</b></summary><table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>location</th>\n",
+       "      <th>group</th>\n",
+       "      <th>group_name</th>\n",
+       "      <th>channel_name</th>\n",
+       "      <th>DSPLowCutFilterEnabled</th>\n",
+       "      <th>RecordSize</th>\n",
+       "      <th>DspHighCutNumTaps</th>\n",
+       "      <th>DspHighCutFrequency</th>\n",
+       "      <th>DspFilterDelay_µs</th>\n",
+       "      <th>recording_opened</th>\n",
+       "      <th>NumADChannels</th>\n",
+       "      <th>DspDelayCompensation</th>\n",
+       "      <th>DspLowCutFrequency</th>\n",
+       "      <th>input_inverted</th>\n",
+       "      <th>FileType</th>\n",
+       "      <th>DspLowCutFilterType</th>\n",
+       "      <th>DSPHighCutFilterEnabled</th>\n",
+       "      <th>recording_closed</th>\n",
+       "      <th>DspLowCutNumTaps</th>\n",
+       "      <th>DspHighCutFilterType</th>\n",
+       "      <th>ADMaxValue</th>\n",
+       "      <th>InputRange</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>c3bs</td>\n",
+       "      <td>ElectrodeGroup pynwb.ecephys.ElectrodeGroup at 0x4778698000\\nFields:\\n  description: The group of electrodes from the EPhys system (Neuralynx, Digital Lynx SX) implanted in the striatum.\\n  device: device_ecephys pynwb.device.Device at 0x4778696992\\nFields:\\n  description: Neuralynx recording\\n\\n  location: striatum\\n</td>\n",
+       "      <td>ElectrodeGroup</td>\n",
+       "      <td>CSC37</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1044</td>\n",
+       "      <td>256</td>\n",
+       "      <td>8000</td>\n",
+       "      <td>3984</td>\n",
+       "      <td>2024-09-26 09:01:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NCS</td>\n",
+       "      <td>DCO</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2024-09-26 16:02:14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>FIR</td>\n",
+       "      <td>32767</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>c3a</td>\n",
+       "      <td>ElectrodeGroup pynwb.ecephys.ElectrodeGroup at 0x4778698000\\nFields:\\n  description: The group of electrodes from the EPhys system (Neuralynx, Digital Lynx SX) implanted in the striatum.\\n  device: device_ecephys pynwb.device.Device at 0x4778696992\\nFields:\\n  description: Neuralynx recording\\n\\n  location: striatum\\n</td>\n",
+       "      <td>ElectrodeGroup</td>\n",
+       "      <td>CSC38</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1044</td>\n",
+       "      <td>256</td>\n",
+       "      <td>8000</td>\n",
+       "      <td>3984</td>\n",
+       "      <td>2024-09-26 09:01:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>False</td>\n",
+       "      <td>NCS</td>\n",
+       "      <td>DCO</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2024-09-26 16:02:14</td>\n",
+       "      <td>0</td>\n",
+       "      <td>FIR</td>\n",
+       "      <td>32767</td>\n",
+       "      <td>1000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table></details></details></details></div>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 11
+  },
+  {
+   "cell_type": "code",
+   "id": "c18eed60-e41c-434d-aebd-a20880f7d7d5",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T12:51:49.587639Z",
+     "start_time": "2026-01-07T12:51:39.316027Z"
+    }
+   },
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10, 2), dpi=200)\n",
+    "\n",
+    "t = np.array(bipolar_lfp_series.timestamps)\n",
+    "d = np.array(bipolar_lfp_series.data)\n",
+    "ax.plot(t[5000:10000], d[5000:10000, 0])\n",
+    "\n",
+    "ax.set_title('Bipolar LFP (c3bs)')\n",
+    "ax.set_frame_on(False)\n",
+    "ax.set_xlabel('Time (s)')\n",
+    "\n",
+    "formatter = ScalarFormatter(useOffset=False)\n",
+    "formatter.set_scientific(False)\n",
+    "ax.xaxis.set_major_formatter(formatter)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 2000x400 with 1 Axes>"
+      ],
+      "image/png": "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"
+     },
+     "metadata": {},
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
+    }
+   ],
+   "execution_count": 12
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e7b3d2be-b9ca-4569-9e4b-aaba35377307",
+   "metadata": {},
+   "source": [
+    "## Raw Eye Tracking\n",
+    "\n",
+    "Raw eye-tracking signals recorded by the Neuralynx system are imported and stored in the NWB acquisition as an `EyeTracking`\n",
+    "container containing one `SpatialSeries` that stores the continuous gaze position time series (x, y).\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "5df50e8b-b347-42f1-a965-09b73f041dbb",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T13:04:37.511159Z",
+     "start_time": "2026-01-07T12:51:53.336771Z"
+    }
+   },
+   "source": [
+    "eye_tracking = nwbfile.acquisition[\"EyeTracking\"]\n",
+    "eye_tracking_series = eye_tracking[\"eye_tracking_series\"]\n",
+    "\n",
+    "data = np.array(eye_tracking_series.data)\n",
+    "rate = float(eye_tracking_series.rate)\n",
+    "\n",
+    "trial_start = nwbfile.trials[\"start_time\"][0]\n",
+    "trial_stop = nwbfile.trials[\"stop_time\"][0]\n",
+    "\n",
+    "plt.figure(figsize=(3,3), dpi=200)\n",
+    "\n",
+    "plt.plot(data[int(rate*trial_start):int(rate*trial_stop), 0], data[int(rate*trial_start):int(rate*trial_stop),1], '.', markersize=1)\n",
+    "plt.xlabel('x (a.u.)')\n",
+    "plt.ylabel('y (a.u.)')\n",
+    "plt.title('Eye tracking (first trial)')\n",
+    "plt.gca().set_frame_on(False)\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ],
+      "image/png": "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"
+     },
+     "metadata": {},
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
+    }
+   ],
+   "execution_count": 13
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0b65fff6-9586-420a-b945-7cc56a8ae7c9",
+   "metadata": {},
+   "source": [
+    "# Trials\n",
+    "\n",
+    "The trials can be accessed as `nwbfile.trials` and can be converted to pandas DataFrame as `nwbfile.trials.to_dataframe()`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "ec8c2d07-2aa6-4458-b41e-583b080b1de0",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T13:04:37.587325Z",
+     "start_time": "2026-01-07T13:04:37.513179Z"
+    }
+   },
+   "source": [
+    "nwbfile.trials.to_dataframe()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "        start_time     stop_time  midpoint_time                   tags  \\\n",
+       "id                                                                       \n",
+       "0     12919.053511  12979.053511   12949.053511  [initial cue display]   \n",
+       "1     12933.598360  12993.598360   12963.598360  [initial cue display]   \n",
+       "2     12946.610890  13006.610890   12976.610890  [initial cue display]   \n",
+       "3     12960.222840  13020.222840   12990.222840  [initial cue display]   \n",
+       "4     12973.518878  13033.518878   13003.518878  [initial cue display]   \n",
+       "...            ...           ...            ...                    ...   \n",
+       "1496  32062.748030  32122.748030   32092.748030  [initial cue display]   \n",
+       "1497  32076.476282  32136.476282   32106.476282  [initial cue display]   \n",
+       "1498  32090.221984  32150.221984   32120.221984  [initial cue display]   \n",
+       "1499  32105.400297  32165.400297   32135.400297  [initial cue display]   \n",
+       "1500  32118.429316  32178.429316   32148.429316  [initial cue display]   \n",
+       "\n",
+       "                                             timeseries  \n",
+       "id                                                       \n",
+       "0     [(0, 60001, bipolar_lfp_series pynwb.ecephys.E...  \n",
+       "1     [(14545, 60001, bipolar_lfp_series pynwb.eceph...  \n",
+       "2     [(27558, 60001, bipolar_lfp_series pynwb.eceph...  \n",
+       "3     [(41170, 60001, bipolar_lfp_series pynwb.eceph...  \n",
+       "4     [(54466, 60002, bipolar_lfp_series pynwb.eceph...  \n",
+       "...                                                 ...  \n",
+       "1496  [(19144443, 60003, bipolar_lfp_series pynwb.ec...  \n",
+       "1497  [(19158172, 60003, bipolar_lfp_series pynwb.ec...  \n",
+       "1498  [(19171919, 60002, bipolar_lfp_series pynwb.ec...  \n",
+       "1499  [(19187097, 60002, bipolar_lfp_series pynwb.ec...  \n",
+       "1500  [(19200128, 46972, bipolar_lfp_series pynwb.ec...  \n",
+       "\n",
+       "[1501 rows x 5 columns]"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>start_time</th>\n",
+       "      <th>stop_time</th>\n",
+       "      <th>midpoint_time</th>\n",
+       "      <th>tags</th>\n",
+       "      <th>timeseries</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>12919.053511</td>\n",
+       "      <td>12979.053511</td>\n",
+       "      <td>12949.053511</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(0, 60001, bipolar_lfp_series pynwb.ecephys.E...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>12933.598360</td>\n",
+       "      <td>12993.598360</td>\n",
+       "      <td>12963.598360</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(14545, 60001, bipolar_lfp_series pynwb.eceph...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>12946.610890</td>\n",
+       "      <td>13006.610890</td>\n",
+       "      <td>12976.610890</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(27558, 60001, bipolar_lfp_series pynwb.eceph...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>12960.222840</td>\n",
+       "      <td>13020.222840</td>\n",
+       "      <td>12990.222840</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(41170, 60001, bipolar_lfp_series pynwb.eceph...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>12973.518878</td>\n",
+       "      <td>13033.518878</td>\n",
+       "      <td>13003.518878</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(54466, 60002, bipolar_lfp_series pynwb.eceph...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1496</th>\n",
+       "      <td>32062.748030</td>\n",
+       "      <td>32122.748030</td>\n",
+       "      <td>32092.748030</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(19144443, 60003, bipolar_lfp_series pynwb.ec...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1497</th>\n",
+       "      <td>32076.476282</td>\n",
+       "      <td>32136.476282</td>\n",
+       "      <td>32106.476282</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(19158172, 60003, bipolar_lfp_series pynwb.ec...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1498</th>\n",
+       "      <td>32090.221984</td>\n",
+       "      <td>32150.221984</td>\n",
+       "      <td>32120.221984</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(19171919, 60002, bipolar_lfp_series pynwb.ec...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1499</th>\n",
+       "      <td>32105.400297</td>\n",
+       "      <td>32165.400297</td>\n",
+       "      <td>32135.400297</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(19187097, 60002, bipolar_lfp_series pynwb.ec...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1500</th>\n",
+       "      <td>32118.429316</td>\n",
+       "      <td>32178.429316</td>\n",
+       "      <td>32148.429316</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "      <td>[(19200128, 46972, bipolar_lfp_series pynwb.ec...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1501 rows × 5 columns</p>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 14
+  },
+  {
+   "cell_type": "code",
+   "id": "62e815c4-6884-4451-b793-120c28e4e83b",
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    },
+    "ExecuteTime": {
+     "end_time": "2025-11-26T11:24:46.498231Z",
+     "start_time": "2025-11-26T11:24:46.178421Z"
+    }
+   },
+   "source": [
+    "trials = nwbfile.trials\n",
+    "timeseries = trials.timeseries\n",
+    "\n",
+    "# Get a single example TimeSeriesReference from the trials table\n",
+    "example_tsr = nwbfile.trials[\"timeseries\"][0][0]\n",
+    "\n",
+    "# Get the data values from the timeseries. This is a shorthand for:\n",
+    "# _ = example_tsr.timeseries.data[example_tsr.idx_start: (example_tsr.idx_start + example_tsr.count)]\n",
+    "y = example_tsr.data\n",
+    "\n",
+    "data_per_trial = [nwbfile.trials[\"timeseries\"][trial][0].data for trial in range(10)]\n",
+    "timestamps_per_trial = [nwbfile.trials[\"timeseries\"][trial][0].timestamps for trial in range(10)]\n",
+    "\n",
+    "plt.figure(figsize=(10, 6), dpi=200)\n",
+    "n = 10\n",
+    "# determine a reasonable scaling so traces don't overlap: base on peak-to-peak across plotted trials\n",
+    "p2p_list = [np.nanmax(trial) - np.nanmin(trial) for trial in data_per_trial[:10]]\n",
+    "max_p2p = float(np.nanmax(p2p_list)) if p2p_list else 1.0\n",
+    "spacing = max_p2p * 1.2 if max_p2p > 0 else 1.0\n",
+    "\n",
+    "midpoints = trials[\"midpoint_time\"][:]\n",
+    "for i, trial_data in enumerate(data_per_trial[:10]):\n",
+    "    # center each trace on its trial number and scale to fit within spacing\n",
+    "    centered = trial_data - np.nanmean(trial_data)\n",
+    "    y = centered / spacing * 0.8 + (i + 1)\n",
+    "    plt.plot(timestamps_per_trial[i], y, color=\"C1\", linewidth=0.8, label=\"nwbfile.trials.timeseries\" if i == 0 else None)\n",
+    "    plt.vlines(x=midpoints[i], ymin=i + 0.5, ymax=i + 1.3, color=\"black\", linewidth=.3, linestyle=\"--\", label=\"trial midpoint\" if i == 0 else None)\n",
+    "\n",
+    "plt.xlabel(\"Time (seconds)\")\n",
+    "plt.ylabel(\"Trial #\")\n",
+    "plt.yticks(np.arange(1, n + 1))\n",
+    "plt.title(f\"Referenced LFP from trials table (first {n} trials)\")\n",
+    "plt.ylim(0.0, n + 0.8)\n",
+    "#plt.grid(axis=\"x\", linestyle=\":\", alpha=0.6)\n",
+    "plt.tight_layout() # for legend\n",
+    "plt.legend(loc=\"upper left\")\n",
+    "plt.gca().set_frame_on(False)\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 2000x1200 with 1 Axes>"
+      ],
+      "image/png": "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"
+     },
+     "metadata": {},
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
+    }
+   ],
+   "execution_count": 12
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ffe35e6-d441-4ccb-97b6-4dd129a095c0",
+   "metadata": {},
+   "source": [
+    "# Events\n",
+    "\n",
+    "The events are added to processing module named \"events\" which can be accessed as `nwbfile.processing[\"events\"]`.\n",
+    "\n",
+    "The table can be accessed as `events[\"events_table\"][:]`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "1527eae5-65e8-4a0b-b2c7-431b37b69a10",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T12:11:28.419246Z",
+     "start_time": "2025-11-12T12:11:28.400003Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>event_times</th>\n",
+       "      <th>label</th>\n",
+       "      <th>event_description</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[12949.053511, 12963.59836, 12976.61089, 12949...</td>\n",
+       "      <td>trial start</td>\n",
+       "      <td>The event times for code '128'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[12949.053761, 12963.598641, 12976.611171, 129...</td>\n",
+       "      <td>right condition</td>\n",
+       "      <td>The event times for code '118'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>[12949.420043, 12963.914922, 12976.943856, 129...</td>\n",
+       "      <td>central cue fixation started</td>\n",
+       "      <td>The event times for code '50'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>[12950.852627, 12965.348111, 12978.376789, 129...</td>\n",
+       "      <td>value object start</td>\n",
+       "      <td>The event times for code '23'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>[12951.219158, 12965.714643, 12978.726664, 129...</td>\n",
+       "      <td>value cue fixation started</td>\n",
+       "      <td>The event times for code '51'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>[12954.651394, 12969.146574, 12954.651394, 129...</td>\n",
+       "      <td>feedback</td>\n",
+       "      <td>The event times for code '21'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>[12955.641539, 12970.133233, 12955.641539, 129...</td>\n",
+       "      <td>small reward</td>\n",
+       "      <td>The event times for code '100'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>[12955.78432, 12970.279764, 12955.78432, 12970...</td>\n",
+       "      <td>reward delivery end</td>\n",
+       "      <td>The event times for code '105'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>[12961.53236, 12974.544911, 12961.53236, 12974...</td>\n",
+       "      <td>end trial</td>\n",
+       "      <td>The event times for code '18'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>[13121.880302, 13121.880302, 13136.408984, 131...</td>\n",
+       "      <td>left condition</td>\n",
+       "      <td>The event times for code '117'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>[13128.461726, 13128.461726, 13142.857481, 131...</td>\n",
+       "      <td>big reward</td>\n",
+       "      <td>The event times for code '101'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>[13400.338329, 13400.338329, 13400.338329, 134...</td>\n",
+       "      <td>error fixation never started</td>\n",
+       "      <td>The event times for code '62'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>[13746.708024, 13746.708024, 13768.134239, 137...</td>\n",
+       "      <td>error forced trial value cue fix break</td>\n",
+       "      <td>The event times for code '69'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>[13792.95942, 13792.95942, 13792.95942, 13792....</td>\n",
+       "      <td>error fixation break initial</td>\n",
+       "      <td>The event times for code '61'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>[14440.713834, 14440.713834, 14440.713834, 144...</td>\n",
+       "      <td>error choice value initial fix break</td>\n",
+       "      <td>The event times for code '65'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>[16943.026747, 16943.026747, 16943.026747, 169...</td>\n",
+       "      <td>error fixation break target</td>\n",
+       "      <td>The event times for code '60'.</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                          event_times  \\\n",
+       "id                                                      \n",
+       "0   [12949.053511, 12963.59836, 12976.61089, 12949...   \n",
+       "1   [12949.053761, 12963.598641, 12976.611171, 129...   \n",
+       "2   [12949.420043, 12963.914922, 12976.943856, 129...   \n",
+       "3   [12950.852627, 12965.348111, 12978.376789, 129...   \n",
+       "4   [12951.219158, 12965.714643, 12978.726664, 129...   \n",
+       "5   [12954.651394, 12969.146574, 12954.651394, 129...   \n",
+       "6   [12955.641539, 12970.133233, 12955.641539, 129...   \n",
+       "7   [12955.78432, 12970.279764, 12955.78432, 12970...   \n",
+       "8   [12961.53236, 12974.544911, 12961.53236, 12974...   \n",
+       "9   [13121.880302, 13121.880302, 13136.408984, 131...   \n",
+       "10  [13128.461726, 13128.461726, 13142.857481, 131...   \n",
+       "11  [13400.338329, 13400.338329, 13400.338329, 134...   \n",
+       "12  [13746.708024, 13746.708024, 13768.134239, 137...   \n",
+       "13  [13792.95942, 13792.95942, 13792.95942, 13792....   \n",
+       "14  [14440.713834, 14440.713834, 14440.713834, 144...   \n",
+       "15  [16943.026747, 16943.026747, 16943.026747, 169...   \n",
+       "\n",
+       "                                     label                event_description  \n",
+       "id                                                                           \n",
+       "0                              trial start  The event times for code '128'.  \n",
+       "1                          right condition  The event times for code '118'.  \n",
+       "2             central cue fixation started   The event times for code '50'.  \n",
+       "3                       value object start   The event times for code '23'.  \n",
+       "4               value cue fixation started   The event times for code '51'.  \n",
+       "5                                 feedback   The event times for code '21'.  \n",
+       "6                             small reward  The event times for code '100'.  \n",
+       "7                      reward delivery end  The event times for code '105'.  \n",
+       "8                                end trial   The event times for code '18'.  \n",
+       "9                           left condition  The event times for code '117'.  \n",
+       "10                              big reward  The event times for code '101'.  \n",
+       "11            error fixation never started   The event times for code '62'.  \n",
+       "12  error forced trial value cue fix break   The event times for code '69'.  \n",
+       "13            error fixation break initial   The event times for code '61'.  \n",
+       "14    error choice value initial fix break   The event times for code '65'.  \n",
+       "15             error fixation break target   The event times for code '60'.  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "events = nwbfile.processing[\"events\"]\n",
+    "# Get the events table\n",
+    "events_table = events[\"events_table\"][:]\n",
+    "\n",
+    "events_table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "ab445e70-200a-4edc-b7b8-f4085e504737",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T12:11:34.747048Z",
+     "start_time": "2025-11-12T12:11:34.634119Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x1200 with 1 Axes>"
+      ]
+     },
+     "jetTransient": {
+      "display_id": null
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 6), dpi=200)\n",
+    "\n",
+    "for i, row in events_table.head(9).iterrows():\n",
+    "    label = row[\"label\"]\n",
+    "    times = np.array(row[\"event_times\"])[:10]\n",
+    "    plt.vlines(times, i + 0.6, i + 1.4, lw=0.8)\n",
+    "    plt.text(times.min() - 2, i + 1, label, va=\"center\", ha=\"right\", fontsize=9)\n",
+    "\n",
+    "plt.xlabel(\"Time (s)\")\n",
+    "plt.ylabel(\"Event label\")\n",
+    "plt.title(\"Events overview\")\n",
+    "plt.yticks([])\n",
+    "plt.tight_layout()\n",
+    "plt.gca().set_frame_on(False)   # remove the frame\n",
+    "plt.ylabel(\"\")\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "fbfcbee4-bdee-482c-bc15-bbb72fbd1aa2",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2026-01-07T13:04:37.727335Z",
+     "start_time": "2026-01-07T13:04:37.612397Z"
+    }
+   },
+   "source": [
+    "# close the file\n",
+    "io.close()\n",
+    "h5py_file.close()\n",
+    "rem_file.close()"
+   ],
+   "outputs": [],
+   "execution_count": 15
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "279454b85f2c49e8",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/001628/SchwerdtLab/001628_fscv_tutorial.ipynb b/001628/SchwerdtLab/001628_fscv_tutorial.ipynb
new file mode 100644
index 0000000..803a9a9
--- /dev/null
+++ b/001628/SchwerdtLab/001628_fscv_tutorial.ipynb
@@ -0,0 +1,1520 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "15d40881-1175-4c7a-b30c-5f8a67a5eecf",
+   "metadata": {},
+   "source": [
+    "# DANDI:001628 NWB tutorial\n",
+    "\n",
+    "This tutorial demonstrates how to access an NWB file from [DANDI:001268](https://dandiarchive.org/dandiset/001628/draft) for the study detailed in [_\"Microinvasive Probes for Monitoring Electrical and Chemical Neural Activity in Nonhuman Primates\"_](https://www.biorxiv.org/content/10.1101/2025.01.30.635139v1.full.pdf).\n",
+    "\n",
+    "This dataset contains in vivo **electrophysiology \\(EPhys\\)** and  **fast\\-scan cyclic voltammetry \\(FSCV\\)** measurements from micro-invasive probes chronically implanted in the striatum of task-performing rhesus monkeys. These modalities were recorded in separate sessions (i\\.e\\., a given NWB file contains either EPhys or FSCV as the primary recording modality, not both simultaneously).\n",
+    "\n",
+    "This notebook demonstrates how to access:\n",
+    "- **Raw EPhys** in `acquisition` (e\\.g\\., `ElectricalSeries`)\n",
+    "- **Processed/filtered EPhys** in `processing/ecephys`\n",
+    "- **Behavioral** data included in the same session (e\\.g\\., eye tracking, trials, and event annotations)\n",
+    "\n"
+   ]
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "### Import Required Libraries",
+   "id": "65a45b092160381"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-26T11:25:05.207105Z",
+     "start_time": "2025-11-26T11:25:04.016646Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "# Core data manipulation and analysis\n",
+    "import os\n",
+    "\n",
+    "import h5py\n",
+    "\n",
+    "# Visualization\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import remfile\n",
+    "\n",
+    "# NWB and DANDI access\n",
+    "from dandi.dandiapi import DandiAPIClient\n",
+    "from matplotlib.ticker import ScalarFormatter\n",
+    "from pynwb import NWBHDF5IO\n",
+    "\n",
+    "# Configure matplotlib\n",
+    "plt.rcParams['font.size'] = 10"
+   ],
+   "id": "15ab9f4263afdfac",
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "# Streaming an NWB file\n",
+    "\n",
+    "This section demonstrates how to stream an NWB file from the DANDI Archive using `remfile` and `pynwb`.\n",
+    "\n",
+    "To access an embargoed dataset on DANDI, you will need to obtain a DANDI API key by creating an account on the [DANDI Archive](https://dandiarchive.org/) and copying the API key from your account.\n",
+    "\n",
+    "See the DANDI documentation for more details:\n",
+    "https://docs.dandiarchive.org/user-guide-sharing/uploading-data/#storing-access-credentials"
+   ],
+   "id": "1c0f108bc12bfbeb"
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-05T15:12:32.981055Z",
+     "start_time": "2025-11-05T15:08:23.401057Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "# Load session data from DANDI\n",
+    "dandiset_id = \"001628\"\n",
+    "subject_id = \"Monkey-T\"\n",
+    "session_id = \"09132024\"\n",
+    "\n",
+    "filepath = f\"sub-{subject_id}/sub-{subject_id}_ses-{session_id}_behavior+ecephys.nwb\"\n",
+    "\n",
+    "# This is only needed if you are accessing an embargoed dataset\n",
+    "# 1) Sets env var for the notebook kernel and subprocesses\n",
+    "# os.environ[\"DANDI_API_KEY\"] = \"\"\n",
+    "\n",
+    "token = os.environ.get(\"DANDI_API_KEY\")\n",
+    "with DandiAPIClient(token=token) as client:\n",
+    "    asset = client.get_dandiset(dandiset_id, 'draft').get_asset_by_path(filepath)\n",
+    "    s3_url = asset.get_content_url(follow_redirects=1, strip_query=False)\n",
+    "\n",
+    "# Create a disk cache to store downloaded data (optional)\n",
+    "cache_dirname = '/tmp/remfile_cache'\n",
+    "disk_cache = remfile.DiskCache(cache_dirname)\n",
+    "\n",
+    "# open the file\n",
+    "rem_file = remfile.File(s3_url, disk_cache=disk_cache)\n",
+    "h5py_file = h5py.File(rem_file, \"r\")\n",
+    "io = NWBHDF5IO(file=h5py_file)\n",
+    "# read the NWB file\n",
+    "nwbfile = io.read()"
+   ],
+   "id": "cd1903b84929ec36",
+   "outputs": [],
+   "execution_count": 17
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c1004cd6-7b07-44a3-8f0c-5f41e1f9b5c3",
+   "metadata": {},
+   "source": [
+    "### Session start time\n",
+    "\n",
+    "All timestamps in the NWB file are represented as relative times (in seconds) from the session start time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "0d92ff8f-5caf-4455-b770-b68ff42f2986",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-05T14:45:41.040487Z",
+     "start_time": "2025-11-05T14:45:41.038181Z"
+    }
+   },
+   "source": [
+    "print(nwbfile.session_start_time)"
+   ],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2024-09-13 09:03:06-04:00\n"
+     ]
+    }
+   ],
+   "execution_count": 3
+  },
+  {
+   "cell_type": "markdown",
+   "id": "50ccf486-5d62-4e51-ad40-19369a2fd101",
+   "metadata": {},
+   "source": [
+    "# Subject\n",
+    "\n",
+    "This section demonstrates how to access the [Subject](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.Subject) field in an NWBFile.\n",
+    "\n",
+    "The [Subject](https://pynwb.readthedocs.io/en/stable/pynwb.file.html#pynwb.file.Subject) field can be accessed as `nwbfile.subject`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "d02c7fa5-0a1c-4857-b468-a8f724767a5c",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-05T14:45:43.602938Z",
+     "start_time": "2025-11-05T14:45:43.596783Z"
+    }
+   },
+   "source": [
+    "nwbfile.subject"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "subject pynwb.file.Subject at 0x5258827424\n",
+       "Fields:\n",
+       "  age: P11Y\n",
+       "  age__reference: birth\n",
+       "  description: Two adult female rhesus monkeys were used for in vivo validation of the s-µIP device, with chronic implants targeting the striatum for simultaneous FSCV and EPhys recordings during behavioral tasks.\n",
+       "  sex: F\n",
+       "  species: Macaca mulatta\n",
+       "  subject_id: Monkey T"
+      ],
+      "text/html": [
+       "\n",
+       "        <style>\n",
+       "            .container-fields {\n",
+       "                font-family: \"Open Sans\", Arial, sans-serif;\n",
+       "            }\n",
+       "            .container-fields .field-value {\n",
+       "                color: #00788E;\n",
+       "            }\n",
+       "            .container-fields details > summary {\n",
+       "                cursor: pointer;\n",
+       "                display: list-item;\n",
+       "            }\n",
+       "            .container-fields details > summary:hover {\n",
+       "                color: #0A6EAA;\n",
+       "            }\n",
+       "        </style>\n",
+       "        \n",
+       "        <script>\n",
+       "            function copyToClipboard(text) {\n",
+       "                navigator.clipboard.writeText(text).then(function() {\n",
+       "                    console.log('Copied to clipboard: ' + text);\n",
+       "                }, function(err) {\n",
+       "                    console.error('Could not copy text: ', err);\n",
+       "                });\n",
+       "            }\n",
+       "\n",
+       "            document.addEventListener('DOMContentLoaded', function() {\n",
+       "                let fieldKeys = document.querySelectorAll('.container-fields .field-key');\n",
+       "                fieldKeys.forEach(function(fieldKey) {\n",
+       "                    fieldKey.addEventListener('click', function() {\n",
+       "                        let accessCode = fieldKey.getAttribute('title').replace('Access code: ', '');\n",
+       "                        copyToClipboard(accessCode);\n",
+       "                    });\n",
+       "                });\n",
+       "            });\n",
+       "        </script>\n",
+       "        <div class='container-wrap'><div class='container-header'><div class='xr-obj-type'><h3>subject (Subject)</h3></div></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".age\">age: </span><span class=\"field-value\">P11Y</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".age__reference\">age__reference: </span><span class=\"field-value\">birth</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".description\">description: </span><span class=\"field-value\">Two adult female rhesus monkeys were used for in vivo validation of the s-µIP device, with chronic implants targeting the striatum for simultaneous FSCV and EPhys recordings during behavioral tasks.</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".sex\">sex: </span><span class=\"field-value\">F</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".species\">species: </span><span class=\"field-value\">Macaca mulatta</span></div><div style=\"margin-left: 0px;\" class=\"container-fields\"><span class=\"field-key\" title=\".subject_id\">subject_id: </span><span class=\"field-value\">Monkey T</span></div></div>"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 4
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8eb306a6-63f6-456b-b7c6-f521a6cd630f",
+   "metadata": {},
+   "source": [
+    "# Access Raw Data\n",
+    "\n",
+    "This section demonstrates how to access the raw `FSCV` data.\n",
+    "\n",
+    "`NWB` organizes data into different groups depending on the type of data. Groups can be thought of as folders within the file. Here are some of the groups within an NWBFile and the types of data they are intended to store:\n",
+    "\n",
+    "- `acquisition`: raw, acquired data that should never change\n",
+    "- `processing`: processed data, typically the results of preprocessing algorithms and could change\n",
+    "\n",
+    "## Raw FSCV\n",
+    "\n",
+    "We implemented [ndx-fscv](https://github.com/catalystneuro/ndx-fscv) extension to store continuous FSCV data in NWB format.\n",
+    "\n",
+    "### FSCVResponseSeries\n",
+    "\n",
+    "The continuous raw signal (measured current) recorded during FSCV is stored in an `FSCVResponseSeries` object which is added to `nwbfile.acquisition`.\n",
+    "The data can be accessed as `nwbfile.acquisition[\"fscv_response_series\"]`.\n",
+    "\n",
+    "The data in `fscv_response_series` is stored as a two dimensional array: the first dimension is time, the second dimension represents electrodes/channels.\n",
+    "\n",
+    "Fields / Attributes:\n",
+    "- `electrodes` — link to the electrodes table\n",
+    "- `unit` — the unit of the measured current (e.g., 'amperes')\n",
+    "- `current_to_voltage_factor` — optional conversion factor that can be used to convert the recorded current back to voltage\n",
+    "- `excitation_series` — link to the FSCVExcitationSeries that defines the applied triangular voltage\n",
+    "\n",
+    "### FSCVExcitationSeries\n",
+    "\n",
+    "The applied triangular voltage waveform during FSCV is stored in an `FSCVExcitationSeries` object which is added to `nwbfile.stimulus`.\n",
+    "The data can be accessed as `nwbfile.stimulus[\"fscv_excitation_series\"]`.\n",
+    "The data in `fscv_excitation_series` is stored as a one dimensional array representing the applied voltage over time.\n",
+    "\n",
+    "Fields / Attributes:\n",
+    "- `unit` — the unit of the applied voltage (e.g., 'volts')\n",
+    "- `sweep_rate` — The voltage sweep rate during a single scan, in volts per second. This represents the rate of potential change within each scan (e.g. 400 V/s)\n",
+    "- `scan_frequency` — The frequency at which the excitation waveform (e.g. 10 Hz)\n",
+    "- `waveform_shape` — The shape of the applied waveform (e.g. 'Triangle')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "c7d9c953-e1f8-40dc-a1e1-a93268f5b460",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-26T11:25:20.597476Z",
+     "start_time": "2025-11-26T11:25:20.589884Z"
+    }
+   },
+   "source": [
+    "response_series = nwbfile.acquisition[\"fscv_response_series\"]\n",
+    "\n",
+    "print(\"=== RAW FSCV ===\\n\")\n",
+    "print(\"=== FSCVResponseSeries ===\")\n",
+    "print(f\"Description: {response_series.description}\")\n",
+    "print(f\"Data shape: {response_series.data.shape}\")\n",
+    "print(\"Electrodes:\")\n",
+    "print(response_series.electrodes[:].to_markdown())\n",
+    "\n",
+    "excitation_series = nwbfile.stimulus[\"fscv_excitation_series\"]\n",
+    "\n",
+    "print(\"=== FSCVExcitationSeries ===\")\n",
+    "print(f\"Description: {excitation_series.description}\")\n",
+    "print(f\"Data shape: {excitation_series.data.shape}\")\n",
+    "print(f\"Sweep rate: {excitation_series.sweep_rate} V/s\")\n",
+    "print(f\"Scan frequency: {excitation_series.scan_frequency} Hz\")\n",
+    "print(f\"Waveform shape: {excitation_series.waveform_shape}\")\n"
+   ],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "=== RAW FSCV ===\n",
+      "\n",
+      "=== FSCVResponseSeries ===\n",
+      "Description: FSCV response current before background subtraction.\n",
+      "Data shape: (51616800,)\n",
+      "Electrodes:\n",
+      "|   id | location   | group                                                           | group_name         |\n",
+      "|-----:|:-----------|:----------------------------------------------------------------|:-------------------|\n",
+      "|    0 | c8dg       | FSCVElectrodeGroup pynwb.ecephys.ElectrodeGroup at 0x6075716944 | FSCVElectrodeGroup |\n",
+      "|      |            | Fields:                                                         |                    |\n",
+      "|      |            |   description: The electrode group for the FSCV electrodes.     |                    |\n",
+      "|      |            |   device: device_ecephys pynwb.device.Device at 0x6075715936    |                    |\n",
+      "|      |            | Fields:                                                         |                    |\n",
+      "|      |            |   description: Neuralynx recording                              |                    |\n",
+      "|      |            |                                                                 |                    |\n",
+      "|      |            |   location: striatum                                            |                    |\n",
+      "=== FSCVExcitationSeries ===\n",
+      "Description: FSCV excitation series for applied voltage waveform.\n",
+      "Data shape: (51616800,)\n",
+      "Sweep rate: 400.0 V/s\n",
+      "Scan frequency: 10.0 Hz\n",
+      "Waveform shape: Triangle\n"
+     ]
+    }
+   ],
+   "execution_count": 4
+  },
+  {
+   "cell_type": "code",
+   "id": "88f29248-8b5b-473b-90a5-f6aefdf49def",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-26T11:25:25.775579Z",
+     "start_time": "2025-11-26T11:25:21.926196Z"
+    }
+   },
+   "source": [
+    "current_data = np.array(response_series.data)  # shape: (n_samples, n_electrodes) or (n_samples,)\n",
+    "voltage_data = np.array(excitation_series.data)  # shape: (n_samples,)\n",
+    "timestamps = np.array(response_series.timestamps)\n",
+    "\n",
+    "idx = np.where((timestamps >= 14120.167919) & (timestamps <= 14121.167919))[0]\n",
+    "\n",
+    "t_window = timestamps[idx]\n",
+    "v_window = voltage_data[idx]\n",
+    "c_window = current_data[idx]\n",
+    "\n",
+    "fig, (ax_voltage, ax_current) = plt.subplots(2, 1, figsize=(10, 8), sharex=True, dpi=200)\n",
+    "ax_voltage.plot(t_window, v_window, color=\"black\")\n",
+    "ax_voltage.set_ylabel(\"Applied Voltage (V)\")\n",
+    "ax_voltage.set_title(\"FSCV Excitation Series\")\n",
+    "\n",
+    "num_electrodes = c_window.shape[1] if c_window.ndim > 1 else 1\n",
+    "if num_electrodes == 1:\n",
+    "    c_window = c_window[:, np.newaxis]  # Make it 2D for consistency\n",
+    "\n",
+    "electrode_labels = response_series.electrodes[\"id\"]\n",
+    "colors = plt.get_cmap(\"tab10\")(np.arange(num_electrodes) % 10)\n",
+    "for i in range(num_electrodes):\n",
+    "    ax_current.plot(\n",
+    "        t_window,\n",
+    "        c_window[:, i],\n",
+    "        color=colors[i],\n",
+    "        linewidth=2,\n",
+    "        label=f\"Electrode{electrode_labels[i]}\",\n",
+    "    )\n",
+    "formatter = ScalarFormatter(useOffset=False)\n",
+    "formatter.set_scientific(False)\n",
+    "ax_current.xaxis.set_major_formatter(formatter)\n",
+    "ax_current.set_ylabel(\"Measured Current (nA)\")\n",
+    "ax_current.set_title(\"FSCV Response Series\")\n",
+    "ax_current.set_xlabel(\"Time (s)\")\n",
+    "if num_electrodes > 1:\n",
+    "    plt.legend(loc=\"upper right\")\n",
+    "    formatter = ScalarFormatter(useOffset=False)\n",
+    "formatter.set_scientific(False)\n",
+    "ax_current.xaxis.set_major_formatter(formatter)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 2000x1600 with 2 Axes>"
+      ],
+      "image/png": "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"
+     },
+     "metadata": {},
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
+    }
+   ],
+   "execution_count": 5
+  },
+  {
+   "cell_type": "code",
+   "id": "eba985b0-d547-457a-a45e-fe2c626c9a57",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-26T11:25:30.106007Z",
+     "start_time": "2025-11-26T11:25:30.025134Z"
+    }
+   },
+   "source": [
+    "scans_per_second = float(excitation_series.scan_frequency)\n",
+    "total_samples = current_data.shape[0]\n",
+    "\n",
+    "samples_per_scan = int(len(current_data) // (round(timestamps[-1] - timestamps[0]) * scans_per_second))\n",
+    "number_of_scans = total_samples // samples_per_scan\n",
+    "\n",
+    "num_scans = 1\n",
+    "start_scan_index = 0\n",
+    "\n",
+    "# Prepare data for plotting\n",
+    "num_electrodes = current_data.shape[1] if current_data.ndim > 1 else 1\n",
+    "if num_electrodes == 1:\n",
+    "    current_data = current_data[:, np.newaxis]\n",
+    "\n",
+    "electrode_labels = response_series.electrodes[\"id\"][:]\n",
+    "colors = plt.get_cmap(\"tab10\")(np.arange(num_scans) % 10)\n",
+    "\n",
+    "fig, axes = plt.subplots(num_electrodes, 1, figsize=(10, 6 * num_electrodes), sharex=True, sharey=True)\n",
+    "if num_electrodes == 1:\n",
+    "    axes = [axes]\n",
+    "\n",
+    "for e in range(num_electrodes):\n",
+    "    ax = axes[e]\n",
+    "    for s in range(num_scans):\n",
+    "        scan_idx = start_scan_index + s\n",
+    "        start = scan_idx * samples_per_scan\n",
+    "        end = start + samples_per_scan\n",
+    "        voltage_scan = voltage_data[start:end]\n",
+    "        current_scan = current_data[start:end, e]\n",
+    "        ax.plot(voltage_scan, current_scan, color=colors[s], alpha=0.7, label=f\"Scan {scan_idx}\")\n",
+    "    ax.set_title(f\"CV plot (c8ds)\")\n",
+    "\n",
+    "    ax.set_ylabel(\"Measured Current (nA)\")\n",
+    "    ax.legend(loc=\"best\")\n",
+    "    ax.grid()\n",
+    "ax.set_xlabel(\"Applied Voltage (V)\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ],
+      "image/png": "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"
+     },
+     "metadata": {},
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
+    }
+   ],
+   "execution_count": 6
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55c2a386-d97d-4d25-b322-01440b1e2f8b",
+   "metadata": {},
+   "source": [
+    "The electrodes table describe the electrodes that generated this data. Extracellular electrodes are stored in an \"electrodes\" table, which is a [DynamicTable](https://hdmf.readthedocs.io/en/stable/hdmf.common.table.html#hdmf.common.table.DynamicTable) and can be can be converted to a pandas DataFrame for convenient analysis using `nwbfile.electrodes.to_dataframe()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "b93b6a51-2f95-4f1f-9ca6-707af2f5a2ad",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T12:13:51.029273Z",
+     "start_time": "2025-11-12T12:13:51.020105Z"
+    }
+   },
+   "source": [
+    "nwbfile.electrodes.to_dataframe()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "   location                                              group  \\\n",
+       "id                                                               \n",
+       "0      c8dg  FSCVElectrodeGroup pynwb.ecephys.ElectrodeGrou...   \n",
+       "\n",
+       "            group_name  \n",
+       "id                      \n",
+       "0   FSCVElectrodeGroup  "
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>location</th>\n",
+       "      <th>group</th>\n",
+       "      <th>group_name</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>c8dg</td>\n",
+       "      <td>FSCVElectrodeGroup pynwb.ecephys.ElectrodeGrou...</td>\n",
+       "      <td>FSCVElectrodeGroup</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 6
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c46a2b0-da8d-4ac4-a9e3-8990a97c77f8",
+   "metadata": {},
+   "source": [
+    "## Trial-aligned FSCV signals\n",
+    "\n",
+    "Trial-aligned FSCV signals (such as dopamine, pH, motion, and oxidation current) are stored in the NWB file using a `TimeIntervals` table within a processing module named \"fscv\". Each row of the table corresponds to a trial, with `start_time` and `stop_time` matching the trial's interval. Additional columns store the trial-aligned signals and metadata for each trial:\n",
+    "\n",
+    "- `good`: Whether the FSCV data for that trial is considered good quality.\n",
+    "- `da`: PCA extracted dopamine concentration time series.\n",
+    "- `ph`: pH change time series.\n",
+    "- `m`: Motion artifact time series.\n",
+    "- `iox`: Measured oxidation current at 0.6 V.\n",
+    "\n",
+    "The module can be accessed as `nwbfile.processing[\"fscv\"]`.\n",
+    "Within this processing module we can access the table as `nwbfile.processing[\"fscv\"][\"trial_aligned_fscv_table\"]`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "38fc679b-7c90-461b-b70f-c6e9464bd73d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T14:55:47.182121Z",
+     "start_time": "2025-11-12T14:55:47.163900Z"
+    }
+   },
+   "source": [
+    "derived_signals_table = nwbfile.processing[\"fscv\"][\"trial_aligned_fscv_table\"]\n",
+    "derived_signals_table[:]"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "       start_time     stop_time  rate  good  \\\n",
+       "id                                            \n",
+       "0    14090.167919  14150.167919  10.0  True   \n",
+       "1    14104.596687  14164.596687  10.0  True   \n",
+       "2    14112.777150  14172.777150  10.0  True   \n",
+       "3    14127.455969  14187.455969  10.0  True   \n",
+       "4    14135.819853  14195.819853  10.0  True   \n",
+       "..            ...           ...   ...   ...   \n",
+       "729  23721.424027  23781.424027  10.0  True   \n",
+       "730  23736.419109  23796.419109  10.0  True   \n",
+       "731  23746.999062  23806.999062  10.0  True   \n",
+       "732  23757.762136  23817.762136  10.0  True   \n",
+       "733  23765.292928  23825.292928  10.0  True   \n",
+       "\n",
+       "                                                    da  \\\n",
+       "id                                                       \n",
+       "0    [-4.716764177496725, -3.8684478584821376, -3.0...   \n",
+       "1    [-3.7806598841841152, -3.1386819836387607, -2....   \n",
+       "2    [6.394203328501755, 5.534976018079785, 4.48153...   \n",
+       "3    [2.585330642191573, 2.0394377310737397, 1.4150...   \n",
+       "4    [4.8972812572406985, 5.676941400663209, 6.3959...   \n",
+       "..                                                 ...   \n",
+       "729  [2.1710871352011996, 2.616802084097405, 2.7464...   \n",
+       "730  [-0.07936953876709464, -0.5572255506633704, -1...   \n",
+       "731  [0.613565607297072, 0.43024719289323177, 0.063...   \n",
+       "732  [4.695533186930557, 4.677009793883287, 4.60394...   \n",
+       "733  [0.09103677308256079, -0.6165988275225615, -1....   \n",
+       "\n",
+       "                                                    ph  \\\n",
+       "id                                                       \n",
+       "0    [-0.12794633899871274, -0.1287456320308777, -0...   \n",
+       "1    [-0.035546574913595086, -0.04413364109361737, ...   \n",
+       "2    [-0.12618829124873407, -0.12228786731316021, -...   \n",
+       "3    [-0.39525457293125427, -0.3911207210865764, -0...   \n",
+       "4    [0.06872928473815025, 0.06977583279265218, 0.0...   \n",
+       "..                                                 ...   \n",
+       "729  [0.04139639744817467, 0.022864273018874007, 0....   \n",
+       "730  [0.08991303494302745, 0.08759020567931303, 0.0...   \n",
+       "731  [0.3188792360955353, 0.3189147093937232, 0.318...   \n",
+       "732  [0.2809738430919195, 0.2826582246311392, 0.284...   \n",
+       "733  [0.3014774018438827, 0.29438812872772824, 0.28...   \n",
+       "\n",
+       "                                                     m  \\\n",
+       "id                                                       \n",
+       "0    [0.030168447380570687, 0.023076218113614447, 0...   \n",
+       "1    [-0.03435001489762923, -0.04292514110368932, -...   \n",
+       "2    [0.012912949927061655, 0.02425242125218241, 0....   \n",
+       "3    [0.1151509178472629, 0.11594273638659681, 0.11...   \n",
+       "4    [-0.0621475765584086, -0.06812806300432069, -0...   \n",
+       "..                                                 ...   \n",
+       "729  [-0.012663750566901711, -0.01973531101625218, ...   \n",
+       "730  [-0.043091483296134395, -0.03766354934786553, ...   \n",
+       "731  [-0.1303811687540295, -0.12724308698200565, -0...   \n",
+       "732  [-0.11325536675822072, -0.11101892535567014, -...   \n",
+       "733  [-0.0177885387264596, -0.016643486733304996, -...   \n",
+       "\n",
+       "                                                   iox  \n",
+       "id                                                      \n",
+       "0    [0.170866842925534, 0.1809130268758281, 0.1880...  \n",
+       "1    [-0.18714846028456122, -0.16995782714002416, -...  \n",
+       "2    [0.2835887754504256, 0.2815855051255767, 0.274...  \n",
+       "3    [-0.022506837013679615, -0.011668286630651892,...  \n",
+       "4    [0.042585340861364784, 0.05567285079496287, 0....  \n",
+       "..                                                 ...  \n",
+       "729  [-0.04542833626851461, -0.03893919216523045, -...  \n",
+       "730  [-0.04538097308648048, -0.042029167962709835, ...  \n",
+       "731  [-0.13418402883200997, -0.14176506391197563, -...  \n",
+       "732  [-0.04055754150726898, -0.030885064354833958, ...  \n",
+       "733  [-0.06063392152486813, -0.0750094035810207, -0...  \n",
+       "\n",
+       "[734 rows x 8 columns]"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>start_time</th>\n",
+       "      <th>stop_time</th>\n",
+       "      <th>rate</th>\n",
+       "      <th>good</th>\n",
+       "      <th>da</th>\n",
+       "      <th>ph</th>\n",
+       "      <th>m</th>\n",
+       "      <th>iox</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>14090.167919</td>\n",
+       "      <td>14150.167919</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[-4.716764177496725, -3.8684478584821376, -3.0...</td>\n",
+       "      <td>[-0.12794633899871274, -0.1287456320308777, -0...</td>\n",
+       "      <td>[0.030168447380570687, 0.023076218113614447, 0...</td>\n",
+       "      <td>[0.170866842925534, 0.1809130268758281, 0.1880...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>14104.596687</td>\n",
+       "      <td>14164.596687</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[-3.7806598841841152, -3.1386819836387607, -2....</td>\n",
+       "      <td>[-0.035546574913595086, -0.04413364109361737, ...</td>\n",
+       "      <td>[-0.03435001489762923, -0.04292514110368932, -...</td>\n",
+       "      <td>[-0.18714846028456122, -0.16995782714002416, -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>14112.777150</td>\n",
+       "      <td>14172.777150</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[6.394203328501755, 5.534976018079785, 4.48153...</td>\n",
+       "      <td>[-0.12618829124873407, -0.12228786731316021, -...</td>\n",
+       "      <td>[0.012912949927061655, 0.02425242125218241, 0....</td>\n",
+       "      <td>[0.2835887754504256, 0.2815855051255767, 0.274...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>14127.455969</td>\n",
+       "      <td>14187.455969</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[2.585330642191573, 2.0394377310737397, 1.4150...</td>\n",
+       "      <td>[-0.39525457293125427, -0.3911207210865764, -0...</td>\n",
+       "      <td>[0.1151509178472629, 0.11594273638659681, 0.11...</td>\n",
+       "      <td>[-0.022506837013679615, -0.011668286630651892,...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>14135.819853</td>\n",
+       "      <td>14195.819853</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[4.8972812572406985, 5.676941400663209, 6.3959...</td>\n",
+       "      <td>[0.06872928473815025, 0.06977583279265218, 0.0...</td>\n",
+       "      <td>[-0.0621475765584086, -0.06812806300432069, -0...</td>\n",
+       "      <td>[0.042585340861364784, 0.05567285079496287, 0....</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>729</th>\n",
+       "      <td>23721.424027</td>\n",
+       "      <td>23781.424027</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[2.1710871352011996, 2.616802084097405, 2.7464...</td>\n",
+       "      <td>[0.04139639744817467, 0.022864273018874007, 0....</td>\n",
+       "      <td>[-0.012663750566901711, -0.01973531101625218, ...</td>\n",
+       "      <td>[-0.04542833626851461, -0.03893919216523045, -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>730</th>\n",
+       "      <td>23736.419109</td>\n",
+       "      <td>23796.419109</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[-0.07936953876709464, -0.5572255506633704, -1...</td>\n",
+       "      <td>[0.08991303494302745, 0.08759020567931303, 0.0...</td>\n",
+       "      <td>[-0.043091483296134395, -0.03766354934786553, ...</td>\n",
+       "      <td>[-0.04538097308648048, -0.042029167962709835, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>731</th>\n",
+       "      <td>23746.999062</td>\n",
+       "      <td>23806.999062</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[0.613565607297072, 0.43024719289323177, 0.063...</td>\n",
+       "      <td>[0.3188792360955353, 0.3189147093937232, 0.318...</td>\n",
+       "      <td>[-0.1303811687540295, -0.12724308698200565, -0...</td>\n",
+       "      <td>[-0.13418402883200997, -0.14176506391197563, -...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>732</th>\n",
+       "      <td>23757.762136</td>\n",
+       "      <td>23817.762136</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[4.695533186930557, 4.677009793883287, 4.60394...</td>\n",
+       "      <td>[0.2809738430919195, 0.2826582246311392, 0.284...</td>\n",
+       "      <td>[-0.11325536675822072, -0.11101892535567014, -...</td>\n",
+       "      <td>[-0.04055754150726898, -0.030885064354833958, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>733</th>\n",
+       "      <td>23765.292928</td>\n",
+       "      <td>23825.292928</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>True</td>\n",
+       "      <td>[0.09103677308256079, -0.6165988275225615, -1....</td>\n",
+       "      <td>[0.3014774018438827, 0.29438812872772824, 0.28...</td>\n",
+       "      <td>[-0.0177885387264596, -0.016643486733304996, -...</td>\n",
+       "      <td>[-0.06063392152486813, -0.0750094035810207, -0...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>734 rows × 8 columns</p>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 10
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T15:09:22.316572Z",
+     "start_time": "2025-11-12T15:09:22.082908Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "# trial timing\n",
+    "trial_start = nwbfile.trials[\"start_time\"][0]\n",
+    "trial_stop = nwbfile.trials[\"stop_time\"][0]\n",
+    "trial_midpoint = nwbfile.trials[\"midpoint_time\"][0]\n",
+    "\n",
+    "# derived signals table\n",
+    "table = derived_signals_table\n",
+    "\n",
+    "signals = [\"da\", \"ph\", \"m\", \"iox\"]\n",
+    "label_map = {\n",
+    "    \"da\": \"Dopamine (PCA - da)\",\n",
+    "    \"ph\": \"pH change (ph)\",\n",
+    "    \"m\": \"Motion artifact (m)\",\n",
+    "    \"iox\": \"Oxidation current 0.6 V (iox)\",\n",
+    "}\n",
+    "\n",
+    "fig, axes = plt.subplots(len(signals), 1, figsize=(10, 8), sharex=True, dpi=200)\n",
+    "\n",
+    "for index, (ax, sig) in enumerate(zip(axes, signals)):\n",
+    "    col = table[sig]\n",
+    "\n",
+    "    # get first-trial data\n",
+    "    sig_arr = np.array(col[0])\n",
+    "\n",
+    "    # timestamps for this signal\n",
+    "    timestamps = np.linspace(trial_start, trial_stop, len(sig_arr))\n",
+    "\n",
+    "    ax.plot(timestamps, sig_arr, color=\"C0\", lw=1.5)\n",
+    "    ax.axvline(x=trial_midpoint, color=\"red\", linestyle=\"--\", linewidth=1, label=\"Trial midpoint\" if index == 0 else \"\")\n",
+    "    ax.set_ylabel(label_map.get(sig, sig))\n",
+    "    ax.grid(alpha=0.3)\n",
+    "    if index == 0:\n",
+    "        ax.legend(loc=\"upper right\", fontsize=\"small\")\n",
+    "    ax.set_frame_on(False)\n",
+    "\n",
+    "axes[-1].set_xlabel(\"Time (s)\")\n",
+    "plt.suptitle(\"Trial-aligned signals (first trial)\")\n",
+    "plt.tight_layout(rect=[0, 0, 1, 0.96])\n",
+    "plt.show()"
+   ],
+   "id": "ae490b2f88358af1",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 2000x1600 with 4 Axes>"
+      ],
+      "image/png": "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"
+     },
+     "metadata": {},
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
+    }
+   ],
+   "execution_count": 33
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## Raw Eye Tracking\n",
+    "\n",
+    "Raw eye-tracking signals recorded by the Neuralynx system are imported and stored in the NWB acquisition as an `EyeTracking`\n",
+    "container containing one `SpatialSeries` that stores the continuous gaze position time series (x, y).\n"
+   ],
+   "id": "d6f7ce915cc4b359"
+  },
+  {
+   "cell_type": "code",
+   "id": "5df50e8b-b347-42f1-a965-09b73f041dbb",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T12:14:37.152415Z",
+     "start_time": "2025-11-12T12:14:21.156413Z"
+    }
+   },
+   "source": [
+    "eye_tracking = nwbfile.acquisition[\"EyeTracking\"]\n",
+    "eye_tracking_series = eye_tracking[\"eye_tracking_series\"]\n",
+    "\n",
+    "data = np.array(eye_tracking_series.data)\n",
+    "rate = float(eye_tracking_series.rate)\n",
+    "\n",
+    "trial_start = nwbfile.trials[\"start_time\"][0]\n",
+    "trial_stop = nwbfile.trials[\"stop_time\"][0]\n",
+    "\n",
+    "plt.figure(figsize=(3,3), dpi=200)\n",
+    "\n",
+    "plt.plot(data[int(rate*trial_start):int(rate*trial_stop), 0], data[int(rate*trial_start):int(rate*trial_stop),1], '.', markersize=1)\n",
+    "plt.xlabel('x (a.u.)')\n",
+    "plt.ylabel('y (a.u.)')\n",
+    "plt.title('Eye tracking (first trial)')\n",
+    "plt.gca().set_frame_on(False)\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ],
+      "image/png": "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"
+     },
+     "metadata": {},
+     "output_type": "display_data",
+     "jetTransient": {
+      "display_id": null
+     }
+    }
+   ],
+   "execution_count": 8
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0b65fff6-9586-420a-b945-7cc56a8ae7c9",
+   "metadata": {},
+   "source": [
+    "# Trials\n",
+    "\n",
+    "The trials can be accessed as `nwbfile.trials` and can be converted to pandas DataFrame as `nwbfile.trials.to_dataframe()`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "ec8c2d07-2aa6-4458-b41e-583b080b1de0",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T12:14:37.194304Z",
+     "start_time": "2025-11-12T12:14:37.162198Z"
+    }
+   },
+   "source": [
+    "nwbfile.trials.to_dataframe()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "        start_time     stop_time  midpoint_time                   tags\n",
+       "id                                                                    \n",
+       "0     14090.167919  14150.167919   14120.167919  [initial cue display]\n",
+       "1     14104.596687  14164.596687   14134.596687  [initial cue display]\n",
+       "2     14112.777150  14172.777150   14142.777150  [initial cue display]\n",
+       "3     14127.455969  14187.455969   14157.455969  [initial cue display]\n",
+       "4     14135.819853  14195.819853   14165.819853  [initial cue display]\n",
+       "...            ...           ...            ...                    ...\n",
+       "1463  32833.390303  32893.390303   32863.390303  [initial cue display]\n",
+       "1464  32841.104481  32901.104481   32871.104481  [initial cue display]\n",
+       "1465  32854.150220  32914.150220   32884.150220  [initial cue display]\n",
+       "1466  32867.162461  32927.162461   32897.162461  [initial cue display]\n",
+       "1467  32880.208014  32940.208014   32910.208014  [initial cue display]\n",
+       "\n",
+       "[1468 rows x 4 columns]"
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>start_time</th>\n",
+       "      <th>stop_time</th>\n",
+       "      <th>midpoint_time</th>\n",
+       "      <th>tags</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>14090.167919</td>\n",
+       "      <td>14150.167919</td>\n",
+       "      <td>14120.167919</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>14104.596687</td>\n",
+       "      <td>14164.596687</td>\n",
+       "      <td>14134.596687</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>14112.777150</td>\n",
+       "      <td>14172.777150</td>\n",
+       "      <td>14142.777150</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>14127.455969</td>\n",
+       "      <td>14187.455969</td>\n",
+       "      <td>14157.455969</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>14135.819853</td>\n",
+       "      <td>14195.819853</td>\n",
+       "      <td>14165.819853</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1463</th>\n",
+       "      <td>32833.390303</td>\n",
+       "      <td>32893.390303</td>\n",
+       "      <td>32863.390303</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1464</th>\n",
+       "      <td>32841.104481</td>\n",
+       "      <td>32901.104481</td>\n",
+       "      <td>32871.104481</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1465</th>\n",
+       "      <td>32854.150220</td>\n",
+       "      <td>32914.150220</td>\n",
+       "      <td>32884.150220</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1466</th>\n",
+       "      <td>32867.162461</td>\n",
+       "      <td>32927.162461</td>\n",
+       "      <td>32897.162461</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1467</th>\n",
+       "      <td>32880.208014</td>\n",
+       "      <td>32940.208014</td>\n",
+       "      <td>32910.208014</td>\n",
+       "      <td>[initial cue display]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1468 rows × 4 columns</p>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 9
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6ffe35e6-d441-4ccb-97b6-4dd129a095c0",
+   "metadata": {},
+   "source": [
+    "# Events\n",
+    "\n",
+    "The events are added to processing module named \"events\" which can be accessed as `nwbfile.processing[\"events\"]`.\n",
+    "\n",
+    "The table can be accessed as `events[\"events_table\"][:]`, where the `\"event_times\"` are populated from `NlxEventTS`, the description of the event contains the code from `NlxEventTTL`.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "1527eae5-65e8-4a0b-b2c7-431b37b69a10",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T12:14:37.234701Z",
+     "start_time": "2025-11-12T12:14:37.221238Z"
+    }
+   },
+   "source": [
+    "events = nwbfile.processing[\"events\"]\n",
+    "# Get the events table\n",
+    "events_table = events[\"events_table\"][:]\n",
+    "\n",
+    "events_table"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "                                          event_times  \\\n",
+       "id                                                      \n",
+       "0   [14120.167919, 14134.596687, 14142.77715, 1412...   \n",
+       "1   [14120.1682, 14120.1682, 14120.1682, 14192.277...   \n",
+       "2   [14120.16845, 14120.16845, 14120.16845, 14291....   \n",
+       "3   [14120.168731, 14134.596969, 14142.7774, 14120...   \n",
+       "4   [14120.169013, 14134.5975, 14142.777931, 14120...   \n",
+       "5   [14120.169263, 14120.169263, 14120.169263, 141...   \n",
+       "6   [14120.169544, 14120.169544, 14120.169544, 141...   \n",
+       "7   [14120.634419, 14143.293884, 14120.634419, 141...   \n",
+       "8   [14122.067516, 14122.067516, 14122.067516, 141...   \n",
+       "9   [14122.417391, 14122.417391, 14122.417391, 141...   \n",
+       "10  [14125.849491, 14125.849491, 14125.849491, 141...   \n",
+       "11  [14126.839201, 14149.478485, 14126.839201, 141...   \n",
+       "12  [14128.348852, 14128.348852, 14150.991269, 141...   \n",
+       "13  [14132.497538, 14140.694614, 14132.497538, 141...   \n",
+       "14  [14134.597219, 14142.777681, 14134.597219, 141...   \n",
+       "15  [14134.597781, 14142.778212, 14134.597781, 141...   \n",
+       "16  [14134.598031, 14142.778462, 14134.598031, 141...   \n",
+       "17  [14136.629411, 14136.629411, 14136.629411, 141...   \n",
+       "18  [14144.726472, 14144.726472, 14159.188687, 141...   \n",
+       "19  [14145.059691, 14145.059691, 14159.555218, 141...   \n",
+       "20  [14148.492058, 14148.492058, 14148.492058, 141...   \n",
+       "21  [14157.456782, 14157.456782, 14165.820634, 141...   \n",
+       "22  [14157.457063, 14157.457063, 14165.820915, 141...   \n",
+       "23  [14159.588562, 14159.588562, 14159.588562, 141...   \n",
+       "24  [14192.278108, 14192.278108, 14192.278108, 141...   \n",
+       "25  [14212.387846, 14212.387846, 14236.180015, 142...   \n",
+       "26  [14246.393313, 14246.393313, 14246.393313, 142...   \n",
+       "27  [14270.401797, 14270.401797, 14270.401797, 142...   \n",
+       "28  [14596.045114, 14596.045114, 14596.045114, 145...   \n",
+       "29  [27546.43043, 27546.43043, 27546.43043, 27546....   \n",
+       "30  [29335.46144, 29335.46144, 29335.46144, 29335....   \n",
+       "\n",
+       "                                     label                event_description  \n",
+       "id                                                                           \n",
+       "0                              trial start  The event times for code '128'.  \n",
+       "1                transient value condition  The event times for code '115'.  \n",
+       "2                          right condition  The event times for code '118'.  \n",
+       "3                                  image 1   The event times for code '81'.  \n",
+       "4             right cue reward condition 1   The event times for code '35'.  \n",
+       "5                   forced trial condition  The event times for code '119'.  \n",
+       "6                                    onedr   The event times for code '28'.  \n",
+       "7             central cue fixation started   The event times for code '50'.  \n",
+       "8                       value object start   The event times for code '23'.  \n",
+       "9        forced trial valuecue fix started   The event times for code '53'.  \n",
+       "10                                feedback   The event times for code '21'.  \n",
+       "11                              big reward  The event times for code '101'.  \n",
+       "12                     reward delivery end  The event times for code '105'.  \n",
+       "13                               end trial   The event times for code '18'.  \n",
+       "14                                 image 8   The event times for code '88'.  \n",
+       "15             left cue reward condition 2   The event times for code '31'.  \n",
+       "16                  choice trial condition  The event times for code '120'.  \n",
+       "17            error fixation never started   The event times for code '62'.  \n",
+       "18                         central cue end   The event times for code '24'.  \n",
+       "19              value cue fixation started   The event times for code '51'.  \n",
+       "20                right choice chosen code  The event times for code '121'.  \n",
+       "21            right cue reward condition 2   The event times for code '36'.  \n",
+       "22             left cue reward condition 1   The event times for code '30'.  \n",
+       "23             error choice fixbreak right   The event times for code '66'.  \n",
+       "24                          left condition  The event times for code '117'.  \n",
+       "25                 left choice chosen code  The event times for code '122'.  \n",
+       "26             error fixation break target   The event times for code '60'.  \n",
+       "27              error choice fixbreak left   The event times for code '67'.  \n",
+       "28  error forced trial value cue fix break   The event times for code '69'.  \n",
+       "29    error choice value initial fix break   The event times for code '65'.  \n",
+       "30            error fixation break initial   The event times for code '61'.  "
+      ],
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>event_times</th>\n",
+       "      <th>label</th>\n",
+       "      <th>event_description</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>[14120.167919, 14134.596687, 14142.77715, 1412...</td>\n",
+       "      <td>trial start</td>\n",
+       "      <td>The event times for code '128'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>[14120.1682, 14120.1682, 14120.1682, 14192.277...</td>\n",
+       "      <td>transient value condition</td>\n",
+       "      <td>The event times for code '115'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>[14120.16845, 14120.16845, 14120.16845, 14291....</td>\n",
+       "      <td>right condition</td>\n",
+       "      <td>The event times for code '118'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>[14120.168731, 14134.596969, 14142.7774, 14120...</td>\n",
+       "      <td>image 1</td>\n",
+       "      <td>The event times for code '81'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>[14120.169013, 14134.5975, 14142.777931, 14120...</td>\n",
+       "      <td>right cue reward condition 1</td>\n",
+       "      <td>The event times for code '35'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>[14120.169263, 14120.169263, 14120.169263, 141...</td>\n",
+       "      <td>forced trial condition</td>\n",
+       "      <td>The event times for code '119'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>[14120.169544, 14120.169544, 14120.169544, 141...</td>\n",
+       "      <td>onedr</td>\n",
+       "      <td>The event times for code '28'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>[14120.634419, 14143.293884, 14120.634419, 141...</td>\n",
+       "      <td>central cue fixation started</td>\n",
+       "      <td>The event times for code '50'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>[14122.067516, 14122.067516, 14122.067516, 141...</td>\n",
+       "      <td>value object start</td>\n",
+       "      <td>The event times for code '23'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>[14122.417391, 14122.417391, 14122.417391, 141...</td>\n",
+       "      <td>forced trial valuecue fix started</td>\n",
+       "      <td>The event times for code '53'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>[14125.849491, 14125.849491, 14125.849491, 141...</td>\n",
+       "      <td>feedback</td>\n",
+       "      <td>The event times for code '21'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>[14126.839201, 14149.478485, 14126.839201, 141...</td>\n",
+       "      <td>big reward</td>\n",
+       "      <td>The event times for code '101'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>[14128.348852, 14128.348852, 14150.991269, 141...</td>\n",
+       "      <td>reward delivery end</td>\n",
+       "      <td>The event times for code '105'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>[14132.497538, 14140.694614, 14132.497538, 141...</td>\n",
+       "      <td>end trial</td>\n",
+       "      <td>The event times for code '18'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>[14134.597219, 14142.777681, 14134.597219, 141...</td>\n",
+       "      <td>image 8</td>\n",
+       "      <td>The event times for code '88'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>[14134.597781, 14142.778212, 14134.597781, 141...</td>\n",
+       "      <td>left cue reward condition 2</td>\n",
+       "      <td>The event times for code '31'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>[14134.598031, 14142.778462, 14134.598031, 141...</td>\n",
+       "      <td>choice trial condition</td>\n",
+       "      <td>The event times for code '120'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>[14136.629411, 14136.629411, 14136.629411, 141...</td>\n",
+       "      <td>error fixation never started</td>\n",
+       "      <td>The event times for code '62'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>[14144.726472, 14144.726472, 14159.188687, 141...</td>\n",
+       "      <td>central cue end</td>\n",
+       "      <td>The event times for code '24'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>[14145.059691, 14145.059691, 14159.555218, 141...</td>\n",
+       "      <td>value cue fixation started</td>\n",
+       "      <td>The event times for code '51'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>[14148.492058, 14148.492058, 14148.492058, 141...</td>\n",
+       "      <td>right choice chosen code</td>\n",
+       "      <td>The event times for code '121'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>[14157.456782, 14157.456782, 14165.820634, 141...</td>\n",
+       "      <td>right cue reward condition 2</td>\n",
+       "      <td>The event times for code '36'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>[14157.457063, 14157.457063, 14165.820915, 141...</td>\n",
+       "      <td>left cue reward condition 1</td>\n",
+       "      <td>The event times for code '30'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>[14159.588562, 14159.588562, 14159.588562, 141...</td>\n",
+       "      <td>error choice fixbreak right</td>\n",
+       "      <td>The event times for code '66'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>[14192.278108, 14192.278108, 14192.278108, 141...</td>\n",
+       "      <td>left condition</td>\n",
+       "      <td>The event times for code '117'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>[14212.387846, 14212.387846, 14236.180015, 142...</td>\n",
+       "      <td>left choice chosen code</td>\n",
+       "      <td>The event times for code '122'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>[14246.393313, 14246.393313, 14246.393313, 142...</td>\n",
+       "      <td>error fixation break target</td>\n",
+       "      <td>The event times for code '60'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>[14270.401797, 14270.401797, 14270.401797, 142...</td>\n",
+       "      <td>error choice fixbreak left</td>\n",
+       "      <td>The event times for code '67'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>[14596.045114, 14596.045114, 14596.045114, 145...</td>\n",
+       "      <td>error forced trial value cue fix break</td>\n",
+       "      <td>The event times for code '69'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>[27546.43043, 27546.43043, 27546.43043, 27546....</td>\n",
+       "      <td>error choice value initial fix break</td>\n",
+       "      <td>The event times for code '65'.</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>[29335.46144, 29335.46144, 29335.46144, 29335....</td>\n",
+       "      <td>error fixation break initial</td>\n",
+       "      <td>The event times for code '61'.</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 10
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "ab445e70-200a-4edc-b7b8-f4085e504737",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x1200 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "plt.figure(figsize=(10, 6), dpi=200)\n",
+    "\n",
+    "for i, row in events_table.head(15).iterrows():\n",
+    "    label = row[\"label\"]\n",
+    "    times = np.array(row[\"event_times\"])[:10]\n",
+    "    plt.vlines(times, i + 0.6, i + 1.4, lw=0.8)\n",
+    "    plt.text(times.min() - 2, i + 1, label, va=\"center\", ha=\"right\", fontsize=9)\n",
+    "\n",
+    "plt.xlabel(\"Time (s)\")\n",
+    "plt.ylabel(\"Event label\")\n",
+    "plt.title(\"Events overview\")\n",
+    "plt.yticks([])\n",
+    "plt.tight_layout()\n",
+    "plt.gca().set_frame_on(False)   # remove the frame\n",
+    "plt.ylabel(\"\")\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fbfcbee4-bdee-482c-bc15-bbb72fbd1aa2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/001628/SchwerdtLab/README.md b/001628/SchwerdtLab/README.md
new file mode 100644
index 0000000..f11925e
--- /dev/null
+++ b/001628/SchwerdtLab/README.md
@@ -0,0 +1,28 @@
+# Microinvasive Probes for Monitoring Electrical and Chemical Neural Activity in Nonhuman Primates
+
+These example notebooks demonstrate how to access the dataset published at [DANDI:001628](https://dandiarchive.org/dandiset/001628/draft\).
+
+This dandiset contains in vivo fast-scan cyclic voltammetry (FSCV) sessions and electrophysiology (EPhys) sessions from micro-invasive probes chronically implanted in the striatum of task-performing rhesus monkeys. 
+**FSCV and EPhys were recorded in separate sessions** (i.e., a given NWB file/session contains either FSCV or EPhys as the primary recording modality, not both simultaneously).
+
+## Tutorials
+
+- [`001628_ephys_tutorial.ipynb`](./001628_ephys_tutorial.ipynb): Access an example **EPhys** NWB file (raw `ElectricalSeries`, processed traces in `processing/ecephys`, and behavioral data such as eye tracking, trials, and events).
+- [`001628_fscv_tutorial.ipynb`](./001628_fscv_tutorial.ipynb): Access an example **FSCV** NWB file (raw `FSCVResponseSeries` in `acquisition`, excitation waveform in `stimulus`, derived trial-aligned FSCV signals in `processing/fscv`, and behavioral data such as eye tracking, trials, and events).
+
+## Installing the dependencies
+
+```bash
+git clone https://github.com/dandi/example-notebooks
+cd example-notebooks/001628/SchwerdtLab
+conda env create --file environment.yml
+conda activate schwerdtlab_001628_demo
+```
+
+## Running the notebook
+
+```bash
+jupyter notebook 001628_ephys_tutorial.ipynb
+# or
+jupyter notebook 001628_fscv_tutorial.ipynb
+```
diff --git a/001628/SchwerdtLab/environment.yml b/001628/SchwerdtLab/environment.yml
new file mode 100644
index 0000000..08c630f
--- /dev/null
+++ b/001628/SchwerdtLab/environment.yml
@@ -0,0 +1,13 @@
+name: schwerdtlab_001628_demo
+channels:
+    - conda-forge
+dependencies:
+    - python==3.13
+    - ipywidgets
+    - pip
+    - pip:
+      - dandi
+      - jupyter
+      - matplotlib
+      - pynwb
+      - remfile