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[CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters

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ZitongLu1996/EEG2EEG

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EEG2EEG

Generate your neural signals from mine: individual-to-individual EEG converters

Requirements

  • Python 3.6, or later
  • pytorch
  • scipy
  • scikit-learn
  • tqdm
  • matplotlib
  • pandas
  • PIL
  • neurora

Models

  • EEG2EEG Model
  • NoConnection Model
  • NoCosineLoss Model
  • Linear Model

Dataset

THINGSEEG2 - you can get data here.

File Structure

getdata/. folder: Get data to use from raw data.

models/. folder: Models files to run.

analysis/. folder: Analysis scripts.

Citation

If you are interested in our work, please consider citing the following:

@article{Lu&Golomb_CogSci_2023,
  title = {Generate your neural signals from mine: individual-to-individual EEG converters},
  author = {Lu, Zitong and Golomb, Julie D.},
  booktitle = {Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023)},
  doi = {10.48550/arXiv.2304.10736},
  url = {https://doi.org/10.48550/arXiv.2304.10736},
}

This project is under the MIT license. For further questions, please contact Zitong Lu at [email protected].

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[CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters

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