WIP, BUG: Make plot_evoked() not plot GFP for single channel #8774
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hoechenberger
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drammock
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Jan 22, 2021
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changes look reasonable. +1 for merge when CIs are happy
hoechenberger
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Please do not merge yet, I figured there's actually a bug in how we calculate GFP. |
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Jan 23, 2021
The reason for mne-tools#8772 is simply that we always calculated the GFP incorrectly, i.e. without re-referencing sensor signals to average first. When doing that, I now correctly get a flat GFP (0 at all time points) for single-channel recordings. Closes mne-tools#8772, mne-tools#8774
agramfort
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Jan 23, 2021
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@cbrnr merge if happy |
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Thanks @hoechenberger! |
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Oh noes this wasn't supposed to be merged… can we revert? |
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Can you open a new PR to revert? Sorry about that, I thought you'd addressed the issue (the PR was not a draft and @agramfort said OK to merge). |
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Super weird, Was this simply reset once @agramfort submitted his review? |
hoechenberger
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Jan 23, 2021
…ne-tools#8774)" This reverts commit ae8a466.
hoechenberger
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Hmmm, must've been otherwise it wouldn't have let me merge... Very strange! |
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It's my fault.... Sorry and thanks for reverting. |
hoechenberger
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The reason for mne-tools#8772 is simply that we always calculated the GFP incorrectly, i.e. without re-referencing sensor signals to average first. When doing that, I now correctly get a flat GFP (0 at all time points) for single-channel recordings. Closes mne-tools#8772, mne-tools#8774
larsoner
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Jan 27, 2021
* GFP was not derived from average-referenced signal as it must be The reason for #8772 is simply that we always calculated the GFP incorrectly, i.e. without re-referencing sensor signals to average first. When doing that, I now correctly get a flat GFP (0 at all time points) for single-channel recordings. Closes #8772, #8774 * Add GFP to EEG tutorial [skip azp][skip github] * Fix doc build [skip azp][skip github] * style [skip azp][skip github] * phrasing [skip github][skip azp] * Small fixes [skip azp][skip github] * Apply suggestions from code review [skip azp][skip github] Co-authored-by: Daniel McCloy <dan@mccloy.info> * Fix [skip azp][skip github] * Small fixes + adjust color [skip azp][skip github] * Add gfp='power', gfp='power-only' * Better docstring rendering * use np.linalg.norm Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org> * power -> rms * GFP for EEG, RMS for MEG * Touch Evoked tutorial * Update changelog * Fix tests * FIX: Doc and test * Frobenius norm -> RMS Co-authored-by: Daniel McCloy <dan@mccloy.info> Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org> Co-authored-by: Eric Larson <larson.eric.d@gmail.com>
larsoner
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Jan 27, 2021
* GFP was not derived from average-referenced signal as it must be The reason for #8772 is simply that we always calculated the GFP incorrectly, i.e. without re-referencing sensor signals to average first. When doing that, I now correctly get a flat GFP (0 at all time points) for single-channel recordings. Closes #8772, #8774 * Add GFP to EEG tutorial [skip azp][skip github] * Fix doc build [skip azp][skip github] * style [skip azp][skip github] * phrasing [skip github][skip azp] * Small fixes [skip azp][skip github] * Apply suggestions from code review [skip azp][skip github] Co-authored-by: Daniel McCloy <dan@mccloy.info> * Fix [skip azp][skip github] * Small fixes + adjust color [skip azp][skip github] * Add gfp='power', gfp='power-only' * Better docstring rendering * use np.linalg.norm Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org> * power -> rms * GFP for EEG, RMS for MEG * Touch Evoked tutorial * Update changelog * Fix tests * FIX: Doc and test * Frobenius norm -> RMS Co-authored-by: Daniel McCloy <dan@mccloy.info> Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org> Co-authored-by: Eric Larson <larson.eric.d@gmail.com>
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Fixes #8772