Efficient coding correlates with spatial frequency tuning in a model of V1 receptive field organization.

Full Abstract

Efficient coding has been proposed to play an essential role in early visual processing. While several approaches used an objective function to optimize a particular aspect of efficient coding, such as the minimization of mutual information or the maximization of sparseness, we here explore how different estimates of efficient coding in a model with nonlinear dynamics and Hebbian learning determine the similarity of model receptive fields to V1 data with respect to spatial tuning. Our simulation results indicate that most measures of efficient coding correlate with the similarity of model receptive field data to V1 data, that is, optimizing the estimate of efficient coding increases the similarity of the model data to experimental data. However, the degree of the correlation varies with the different estimates of efficient coding, and in particular, the variance in the firing pattern of each cell does not predict a similarity of model and experimental data.

Author information

Author/s: Wiltschut, Jan (J); Hamker, Fred H (FH);

Affiliation: Psychology and Otto-Creutzfeldt Center for Cognitive and Behavioral Neuroscience, Westf. Wilhelms-Universität Münster, Münster, Germany.

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal: Visual neuroscience (Vis Neurosci), published in England. (Language: eng)

Reference: -2009 Jan-Feb; vol 26 (issue 1) : pp 21-34

Dates: Created 2009/03/24; Completed 2009/04/30;

PMID: 19203427, status: MEDLINE (last retrieval date: 4/30/2009, IMS Date: 30 Apr 2009 00:00:00)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

Comments and Corrections

ErratumIn: Vis Neurosci. 2009 Jan-Feb;26(1):157.

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