Article
Generalized neural decoders for transfer learning across participants and recording modalities
2020-11-02
Abstract excerpt
<h4>Objective</h4> Advances in neural decoding have enabled brain-computer interfaces to perform increasingly complex and clinically-relevant tasks. However, such decoders are often tailored to specific participants, days, and recording sites, limiting their practical long-term usage. Therefore, a fundamental challenge is to develop neural decoders that can robustly train on pooled, multi-participant data and gen...
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Identifiers and source
- Literature Corpus work
- f4b88d92-a16e-5d43-9dcb-69a0f4908fa0
- DOI
- 10.1101/2020.10.30.362558
