Nature: Connectomics Reveals How a Cerebellum-Like Circuit Learns Sensory Prediction
burny_tech · x · 2026-09-09
- A Nature paper by Perks, Petkova et al. maps cell types and synaptic connections underlying multi-layer continual learning in the electric fish cerebellum-like structure.
- Key finding: inhibitory and disinhibitory sensory input pathways satisfy theoretical requirements for instructing synaptic plasticity, cancelling predictable sensory responses.
- The team includes connectomics leaders Jeff Lichtman and Google's Michal Januszewski and Viren Jain, offering circuit-level evidence relevant to continual learning in biology and AI.
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