Modeling the diverse effects of divisive normalization on noise correlations.

ABSTRACT: Divisive normalization, a prominent descriptive model of neural activity, is employed by theories of neural coding across many different brain areas. Yet, the relationship between normalization and the statistics of neural responses beyond single neurons remains largely unexplored. Here we focus on noise correlations, a widely studied pairwise statistic, because its stimulus and state dependence plays a central role in neural coding. Existing models of covariability typically ignore normalization despite empirical evidence suggesting it affects correlation structure in neural populations. We therefore propose a pairwise stochastic divisive normalization model that accounts for the effects of normalization and other factors on covariability. We first show that normalization modulates noise

SUBMITTER: Weiss O 

PROVIDER: S-EPMC10715670 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature