New EEG-Inception architecture for motor imagery #428
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Codecov Report
@@ Coverage Diff @@
## master #428 +/- ##
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+ Coverage 84.28% 84.81% +0.53%
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Files 46 48 +2
Lines 3601 3728 +127
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+ Hits 3035 3162 +127
Misses 566 566 |
agramfort
reviewed
Nov 8, 2022
agramfort
reviewed
Nov 8, 2022
Co-authored-by: Alexandre Gramfort <alexandre.gramfort@m4x.org>
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Let me know if this is what you had in mind @agramfort |
agramfort
reviewed
Nov 8, 2022
agramfort
approved these changes
Nov 8, 2022
|
@bruAristimunha @sliwy feel free to merge |
sliwy
reviewed
Nov 8, 2022
sliwy
approved these changes
Nov 9, 2022
|
Great thanks! I'll merge it then! |
bruAristimunha
approved these changes
Nov 9, 2022
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I realized that the there are two papers proposing models called EEGInception in the recent literature: one for ERP classification (which is already implemented in braindecode) and another for motor imagery. This PR renames the existing EEG-Inception model for ERP to raise the ambiguity and implements the other architecture for motor-imagery tasks.