Neuronal variability reflects probabilistic inference tuned to natural image statistics

The neural sampling theory suggests that neuronal variability encodes the uncertainty of probabilistic inferences. This paper shows that response variability in primary visual cortex reflects the statistical structure of visual inputs, as required for inferences correctly tuned to the statistics of...

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Bibliographic Details
Main Authors: Dylan Festa, Amir Aschner, Aida Davila, Adam Kohn, Ruben Coen-Cagli
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23838-x