Power-law input-output transfer functions explain the contrast-response and tuning properties of neurons in visual cortex.

Power-law input-output transfer functions explain the contrast-response and tuning properties of neurons in visual cortex.

We develop a unified model accounting simultaneously for the contrast invariance of the width of the orientation tuning curves (OT) and for the sigmoidal shape of the contrast response function (CRF) of neurons in the primary visual cortex (V1). We determine analytically the conditions for the struc...

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Bibliographic Details
Main Authors: Erez Persi, David Hansel, Lionel Nowak, Pascal Barone, Carl van Vreeswijk
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-02-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3044767?pdf=render

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