A Strong and Simple Deep Learning Baseline for BCI Motor Imagery decoding

Geometric neural network based on phase space for BCI-EEG decoding

I Carrara, B Aristimunha, MC Corsi… - Journal of Neural …, 2024 - iopscience.iop.org
Abstract Objective: The integration of Deep Learning (DL) algorithms on brain signal
analysis is still in its nascent stages compared to their success in fields like Computer Vision …
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CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding

J Wang, S Zhao, Z Luo, Y Zhou, H Jiang, S Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Electroencephalography (EEG) is a non-invasive technique to measure and record brain
electrical activity, widely used in various BCI and healthcare applications. Early EEG …
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