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• W2890416202 abstract "Actions are guided by a Bayesian-like interaction between priors based on experience and current sensory evidence. Here we unveil a complete neural implementation of Bayesian-like behavior, including adaptation of a prior. We recorded the spiking of single neurons in the smooth eye-movement region of the frontal eye fields (FEFSEM), a region that is causally involved in smooth-pursuit eye movements. Monkeys tracked moving targets in contexts that set different priors for target speed. Before the onset of target motion, preparatory activity encodes and adapts in parallel with the behavioral adaptation of the prior. During the initiation of pursuit, FEFSEM output encodes a maximum a posteriori estimate of target speed based on a reliability-weighted combination of the prior and sensory evidence. FEFSEM responses during pursuit are sufficient both to adapt a prior that may be stored in FEFSEM and, through known downstream pathways, to cause Bayesian-like behavior in pursuit. Behavior is the result of a Bayesian computation that weights past experience and current sensory information by their reliabilities. Here single-neuron activity in eye movement cortex exemplifies how the brain implements a Bayesian computation." @default.
• W2890416202 created "2018-09-27" @default.
• W2890416202 creator A5023287471 @default.
• W2890416202 creator A5044622874 @default.
• W2890416202 creator A5070153805 @default.
• W2890416202 date "2018-09-17" @default.
• W2890416202 modified "2023-10-02" @default.
• W2890416202 title "Neural implementation of Bayesian inference in a sensorimotor behavior" @default.
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• W2890416202 doi "https://doi.org/10.1038/s41593-018-0233-y" @default.
• W2890416202 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6312195" @default.
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• W2890416202 hasPublicationYear "2018" @default.
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