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Relevance based channel selection in motor imagery brain-computer interface.

Aarthy NagarajanNeethu RobinsonCuntai Guan
Published in: Journal of neural engineering (2022)
The proposed method addresses a traditional issue in EEG-BCI decoding, while being relevant and applicable to the latest developments in the field of BCI. We believe that our work brings forth an interesting and important application of model interpretability as a problem-solving technique.
Keyphrases
  • resting state
  • functional connectivity
  • white matter
  • working memory
  • deep learning
  • cerebral ischemia
  • machine learning
  • blood brain barrier
  • brain injury
  • subarachnoid hemorrhage