Article

Learning Dynamic Neural Evidence Representations for Time-Adaptive Brain--Computer Interfaces

2026-08-17

Abstract excerpt

<p>Brain–computer interfaces (BCIs) decode neural activity into commands, yet most existing systems rely on fixed-window decoding that may result in redundant observation or unreliable predictions due to insufficient evidence. Adaptive temporal decision-making (ATDM) addresses this accuracy–time trade-off by progressively accumulating EEG evidence and deciding when to stop. However, existing EEG encoders are mainl...

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Literature Corpus work: 0e6393f8-599d-5911-adfc-9cd9e61bb857
DOI: 10.31234/osf.io/g9dvs_v2

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