Specificity and timescales of cortical adaptation as inferences about natural movie statistics.

ABSTRACT: Adaptation is a phenomenological umbrella term under which a variety of temporal contextual effects are grouped. Previous models have shown that some aspects of visual adaptation reflect optimal processing of dynamic visual inputs, suggesting that adaptation should be tuned to the properties of natural visual inputs. However, the link between natural dynamic inputs and adaptation is poorly understood. Here, we extend a previously developed Bayesian modeling framework for spatial contextual effects to the temporal domain. The model learns temporal statistical regularities of natural movies and links these statistics to adaptation in primary visual cortex via divisive normalization, a ubiquitous neural computation. In particular, the model divisively normalizes the present visual input by th

SUBMITTER: Snow M 

PROVIDER: S-EPMC5054764 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature