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Neural Decoding and Feature Selection Techniques for Closed-Loop Control of Defensive Behavior.

Jinhan LiuRebecca YounkLauren M DrahosSumedh S NagraleShreya YadavAlik S WidgeMahsa Shoaran
Published in: bioRxiv : the preprint server for biology (2024)
Our results demonstrate the feasibility of accurately decoding defensive behaviors with minimal latency, using LFP features from neural circuits strongly linked to these behaviors. This methodology holds promise for real-time decoding to identify physiological targets in closed-loop psychiatric neuromodulation.
Keyphrases
  • mental health
  • machine learning
  • deep learning
  • big data