Related Papers

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Collection of interesting papers we find interesting about EEG and SSL

[chiahungyang]

Uncovering the structure of clinical EEG signals with self-supervised learning, Banville et al. (2020) https://arxiv.org/abs/2007.16104

[chiahungyang]

Deep learning-based electroencephalography analysis: a systematic review, Roy et al. (2019) https://iopscience.iop.org/article/10.1088/1741-2552/ab260c

[chiahungyang]

Uncovering the structure of clinical EEG signals with self-supervised learning, Banville et al. (2020) https://arxiv.org/abs/2007.16104

and a related example in the Braindecode package https://braindecode.org/auto_examples/plot_relative_positioning.html?fbclid=IwAR0FhzxfndatGcqwDyWK6hexVJ8mfqK77LcVJIK0-KraNltbnK89fBnm2kc#id15

[chiahungyang]

A Review on Machine Learning for EEG Signal Processing in Bioengineering, Hosseini et al. (2020) https://ieeexplore.ieee.org/document/8972542

[chiahungyang]

BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data, Kostas et al. (2021) https://arxiv.org/abs/2101.12037

[chiahungyang]

Contrastive Representation Learning for Electroencephalogram Classification, Mohsenvand et al. (2020) http://proceedings.mlr.press/v136/mohsenvand20a.html

[chiahungyang]

Semi-Supervised Contrastive Learning for Generalizable Motor Imagery EEG Classification, Han et al. (2021) https://ieeexplore.ieee.org/abstract/document/9507038?casa_token=JObtnJTTu-kAAAAA:d74DLYBmPpFewdV3eLDbkfaFhjBRthDQlcV51pWG5nXUwSlFhnuVs9UZuc-I__d61c0d0HscMg

[chiahungyang]

Anomaly Detection on Electroencephalography with Self-supervised Learning, Xu et al., BIBM (2020) https://www.computer.org/csdl/proceedings-article/bibm/2020/09313163/1qmggNBqSUU