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Deep learning framework for kinematic event detection and stimulation decoding in primate reaching behavior

2026-07-20

Abstract excerpt

Accurate analysis of motor behavior requires the reliable detection of ongoing kinematic events and a granular characterization of the changes in motor output that occur in response to neural impairments. This article describes a deep learning framework based on bidirectional long short-term memory (BiLSTM) networks developed to analyze single-trial three-dimensional reaching trajectories recorded from two non-hum...

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Literature Corpus work
7d754361-61e6-5554-938a-5941a23f6792
DOI
10.64898/2026.07.14.738537
Open publication

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Deep learning framework for kinematic event detection and stimulation decoding in primate reaching behaviorDOI 10.64898/2026.07.14.738537
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