Control of the strength of visual-motor transmission as the mechanism of rapid adaptation of priors for Bayesian inference in smooth pursuit eye movements
Author(s) -
Timothy R. Darlington,
Stefanie Tokiyama,
Stephen G. Lisberger
Publication year - 2017
Publication title -
journal of neurophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 245
eISSN - 1522-1598
pISSN - 0022-3077
DOI - 10.1152/jn.00282.2017
Subject(s) - prior probability , smooth pursuit , mechanism (biology) , inference , eye movement , bayesian probability , bayesian inference , transmission (telecommunications) , adaptation (eye) , motor control , computer science , neuroscience , artificial intelligence , psychology , physics , telecommunications , quantum mechanics
Bayesian inference can account for the interaction between sensory data and past experience in many behaviors. Here, we show, using smooth pursuit eye movements, that the priors based on past experience can be adapted over a very short time frame. We also show that a single model based on direction-specific adaptation of the strength of visual-motor transmission can explain the implementation and adaptation of priors for both target direction and target speed.
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