How is the EEG reconstructed in the paper

[LYF915]

Hello, I hope to use your pre-processed EEG data to carry out my further research. I really want to know how you use this data to realize the reconstruction of imagination images.
Looking forward to your reply.

reesy

[norahollenstein]

Hi, which EEG dataset are you interested in specifically?
You can download our preprocessed version of all cognitive data sources here: https://drive.google.com/file/d/1pWwIiCdB2snIkgJbD1knPQ6akTPW_kx0/view
Or you can use the CogniVal command line interface to use the evaluation framework: https://github.com/DS3Lab/cognival-cli/

Nora

[LYF915]

Hello, I have two questions:

1. For fMRI: the data set you provided contains 100, 500 and 1000 dimensions. I wonder where the reserved voxels correspond to the brain regions respectively?I wonder if you still have the corresponding original file?

2. For EEG: How do you realize the reconstruction of brain images?
   I prefer to use the Zuco dataset that you used, are you directly with the dataset provided from https://drive.google.com/file/d/1pWwIiCdB2snIkgJbD1knPQ6akTPW_kx0/view to refactor?How to implement the refactoring?

(I'm very sorry that I prefer NLP, and I still have a little lack of knowledge about cognition.Thanks again for your reply.)

[norahollenstein]

Hi,

1. For fMRI the voxels are chosen randomly, not according to any specific brain regions. You can find the links to the original datasets here: https://github.com/norahollenstein/cognitiveNLP-dataCollection/wiki/Functional-magnetic-resonance-imaging-(fMRI)

2. For EEG: Yes, the files in the Google link are the exactly files we used for CogniVal. If you need the original ZuCo data, you can find it here: https://osf.io/q3zws/

[LYF915]

Sorry to have a question, for fMRI data, how is the cognitive signal obtained for the same word in different contexts in the article?
(To take an average?)