Bistable perception modeled as competing stochastic integrations at two levels.

Bistable perception modeled as competing stochastic integrations at two levels.

We propose a novel explanation for bistable perception, namely, the collective dynamics of multiple neural populations that are individually meta-stable. Distributed representations of sensory input and of perceptual state build gradually through noise-driven transitions in these populations, until...

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Bibliographic Details
Main Authors: Guido Gigante, Maurizio Mattia, Jochen Braun, Paolo Del Giudice
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-07-01
Series:PLoS Computational Biology
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19593372/pdf/?tool=EBI

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