PyTorch model training and layer saturation monitor
-
Updated
Apr 1, 2023 - Python
PyTorch model training and layer saturation monitor
A Brian2-based spiking neural network model for perceptual decision-making, featuring selective inhibition control and top-down modulation. The GUI supports real-time visualization and comprehensive analyses, including single-trial and multiple-trial performance metrics such as psychometric curves, reaction times (RT), and energy landscapes
An Engine for Dynamic Enhancement and Noise Overcoming in Spatiotemporal Multimodal Neural Observations via High-density Microelectrode Arrays
A framework for constructing digital twins of brain dynamics. Reconstruct functional networks from signals and run simulations using coupled oscillator models.
Add a description, image, and links to the neural-dynamics topic page so that developers can more easily learn about it.
To associate your repository with the neural-dynamics topic, visit your repo's landing page and select "manage topics."