cortical plasticity as a mechanism for storing bayesian priors in sensory perception大脑皮层可塑性的机制来存储贝叶斯先验感官知觉.pdf
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Cortical Plasticity as a Mechanism for Storing Bayesian
Priors in Sensory Perception
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Hania Kover, Shaowen Bao*
Helen Wills Neuroscience Institute, University of California, Berkeley, California, United States of America
Abstract
Human perception of ambiguous sensory signals is biased by prior experiences. It is not known how such prior information
is encoded, retrieved and combined with sensory information by neurons. Previous authors have suggested dynamic
encoding mechanisms for prior information, whereby top-down modulation of firing patterns on a trial-by-trial basis creates
short-term representations of priors. Although such a mechanism may well account for perceptual bias arising in the short-
term, it does not account for the often irreversible and robust changes in perception that result from long-term,
developmental experience. Based on the finding that more frequently experienced stimuli gain greater representations in
sensory cortices during development, we reasoned that prior information could be stored in the size of cortical sensory
representations. For the case of auditory perception, we use a computational model to show that prior information about
sound frequency distributions may be stored in the size of primary auditory cortex frequency representations, read-out by
elevated baseline activity in all neurons and combined with sensory-evoked activity to generate a percept that conforms to
Bayesian integration theory. Our results suggest an alternative neural mechanism for experience-induced long-term
perceptual bias in the context of auditory perception. They make the testable prediction that the extent of such perceptual
prior bias is modulated by both the degree of cortical
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