Literature DB >> 10195222

Complex cells as cortically amplified simple cells.

F S Chance1, S B Nelson, L F Abbott.   

Abstract

The majority of synapses in primary visual cortex mediate excitation between nearby neurons, yet the role of local recurrent connections in visual processing remains unclear. We propose that these connections are responsible for the spatial-phase invariance of complex-cell responses. In a network model with selective cortical amplification, neurons exhibit simple-cell responses when recurrent connections are weak and complex-cell responses when they are strong, suggesting that simple and complex cells are the low- and high-gain limits of the same basic cortical circuit. Given the ubiquity of invariant responses in cognitive processing, the recurrent mechanism we propose for complex cells may be widely applicable.

Mesh:

Year:  1999        PMID: 10195222     DOI: 10.1038/6381

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  66 in total

1.  Membrane potential and firing rate in cat primary visual cortex.

Authors:  M Carandini; D Ferster
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

2.  Specific roles of NMDA and AMPA receptors in direction-selective and spatial phase-selective responses in visual cortex.

Authors:  C Rivadulla; J Sharma; M Sur
Journal:  J Neurosci       Date:  2001-03-01       Impact factor: 6.167

3.  How simple cells are made in a nonlinear network model of the visual cortex.

Authors:  D J Wielaard; M Shelley; D McLaughlin; R Shapley
Journal:  J Neurosci       Date:  2001-07-15       Impact factor: 6.167

4.  The involvement of recurrent connections in area CA3 in establishing the properties of place fields: a model.

Authors:  S Káli; P Dayan
Journal:  J Neurosci       Date:  2000-10-01       Impact factor: 6.167

5.  An egalitarian network model for the emergence of simple and complex cells in visual cortex.

Authors:  Louis Tao; Michael Shelley; David McLaughlin; Robert Shapley
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-26       Impact factor: 11.205

6.  Computational subunits of visual cortical neurons revealed by artificial neural networks.

Authors:  Brian Lau; Garrett B Stanley; Yang Dan
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

7.  Orientation selectivity in macaque V1: diversity and laminar dependence.

Authors:  Dario L Ringach; Robert M Shapley; Michael J Hawken
Journal:  J Neurosci       Date:  2002-07-01       Impact factor: 6.167

8.  Coarse-grained reduction and analysis of a network model of cortical response: I. Drifting grating stimuli.

Authors:  Michael Shelley; David McLaughlin
Journal:  J Comput Neurosci       Date:  2002 Mar-Apr       Impact factor: 1.621

Review 9.  Complex receptive fields in primary visual cortex.

Authors:  Luis M Martinez; Jose-Manuel Alonso
Journal:  Neuroscientist       Date:  2003-10       Impact factor: 7.519

10.  An effective kinetic representation of fluctuation-driven neuronal networks with application to simple and complex cells in visual cortex.

Authors:  David Cai; Louis Tao; Michael Shelley; David W McLaughlin
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-06       Impact factor: 11.205

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