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Multi-modal, multi-species, and multi-task latent-space model for decoding level of consciousness

2025-12-09

Abstract excerpt

Assessing the degree and characteristics of consciousness is central to caring for patients with Disorders of Consciousness (DoC), yet current standard of care is a bedside questionnaire. Using a laminar neural probe we introduce a self-supervised, multi-modal representation learning approach that constructs an interpretable 2-D latent space of brain state from continuous neural recordings. We jointly encode local...

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Literature Corpus work
e06ef0e8-313d-5704-a293-35f3792d6f66
DOI
10.64898/2025.12.03.692227
Open publication

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Multi-modal, multi-species, and multi-task latent-space model for decoding level of consciousnessDOI 10.64898/2025.12.03.692227
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