Literature DB >> 9744897

Spatial decorrelation in orientation-selective cortical cells.

A Dimitrov1, J D Cowan.   

Abstract

We propose a model for the lateral connectivity of orientation-selective cells in the visual cortex. We study the properties of the input signal to the visual cortex and find new statistical structures that have not been processed in the retino-geniculate pathway. Using the idea that the system performs redundancy reduction of the incoming signals, we derive the lateral connectivity that will achieve this for a set of orientation-selective local circuits, as well as the complete spatial structure of a network composed of such circuits. We compare the results with various physiological measurements.

Mesh:

Year:  1998        PMID: 9744897     DOI: 10.1162/089976698300017133

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  2 in total

1.  Departure from Network Equilibrium (DNE): an efficient and scalable measure of instantaneous network dynamics, with an application to magnetoencephalography.

Authors:  Margaret Y Mahan; Arthur C Leuthold; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2013-10-24       Impact factor: 1.972

2.  Pattern orthogonalization via channel decorrelation by adaptive networks.

Authors:  Stuart D Wick; Martin T Wiechert; Rainer W Friedrich; Hermann Riecke
Journal:  J Comput Neurosci       Date:  2009-08-28       Impact factor: 1.621

  2 in total

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