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Use DNNs to build encoding models of EEG visual responses.

Home Page: https://www.alegifford.com/projects/2022/eeg_dataset/

License: MIT License

Python 84.51% MATLAB 15.49%
eeg human-vision deep-neural-networks things-database computational-neuroscience neural-encoding visual-object-recognition open-dataset

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eeg_encoding's Issues

a question about 'image_list.sort()' in 'end_to_end_encoding_utils.py'

Thanks very much for excellent work! I have a question about the eeg image sort problem. In end_to_end_encoding_utils.py, there are two image_list.sort() functions in lin 41 and 59. Why use this function? Won't this destroy the order in which the EEG and image are already aligned?
image

train-test in mvnn

Hi, Alessandro,

Really appreciate that your group provided such a wonderful dataset and detailed processing code!

There is a little issue at 01_eeg_preprocessing/preprocessing_utils.py Line 167. Here, it uses both training and test data for the whiten matrix. I think it will be better to use only the training part for the matrix for some tasks. May replace with sigma_tot = sigma_part[1]. It has no obvious impact on the results of my test.

BTW, we've finished a self-supervised framework for multi-class decoding with your dataset, https://arxiv.org/abs/2308.13234. Hope to talk with you about the visual systems and computational models someday.

Best wishes,
Song

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