Article

Compositional decoding of neural activity enhances generalization in handwriting BCIs

2026-02-11

Abstract excerpt

Recent brain-computer interfaces (BCIs) have achieved state-of-the-art performance in decoding behavior from neural activity. These models are typically trained on a con-strained set of behaviors, which limits their ability to generalize to real-world settings where behavior is variable, complex, and context-dependent. However, many complex behaviors can be decomposed into a set of reusable behavioral motifs, indi...

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Literature Corpus work: 262630be-2375-578e-8808-f2fd0f0cace0
DOI: 10.64898/2026.02.09.704932

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