Literature DB >> 7643194

An emergent model of orientation selectivity in cat visual cortical simple cells.

D C Somers1, S B Nelson, M Sur.   

Abstract

It is well known that visual cortical neurons respond vigorously to a limited range of stimulus orientations, while their primary afferent inputs, neurons in the lateral geniculate nucleus (LGN), respond well to all orientations. Mechanisms based on intracortical inhibition and/or converging thalamocortical afferents have previously been suggested to underlie the generation of cortical orientation selectivity; however, these models conflict with experimental data. Here, a 1:4 scale model of a 1700 microns by 200 microms region of layer IV of cat primary visual cortex (area 17) is presented to demonstrate that local intracortical excitation may provide the dominant source of orientation-selective input. In agreement with experiment, model cortical cells exhibit sharp orientation selectivity despite receiving strong iso-orientation inhibition, weak cross-orientation inhibition, no shunting inhibition, and weakly tuned thalamocortical excitation. Sharp tuning is provided by recurrent cortical excitation. As this tuning signal arises from the same pool of neurons that it excites, orientation selectivity in the model is shown to be an emergent property of the cortical feedback circuitry. In the model, as in experiment, sharpness of orientation tuning is independent of stimulus contrast and persists with silencing of ON-type subfields. The model also provides a unified account of intracellular and extracellular inhibitory blockade experiments that had previously appeared to conflict over the role of inhibition. It is suggested that intracortical inhibition acts nonspecifically and indirectly to maintain the selectivity of individual neurons by balancing strong intracortical excitation at the columnar level.

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Year:  1995        PMID: 7643194      PMCID: PMC6577625     

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  230 in total

1.  Neuronal population activity and functional imaging.

Authors:  J W Scannell; M P Young
Journal:  Proc Biol Sci       Date:  1999-05-07       Impact factor: 5.349

2.  A population density approach that facilitates large-scale modeling of neural networks: analysis and an application to orientation tuning.

Authors:  D Q Nykamp; D Tranchina
Journal:  J Comput Neurosci       Date:  2000 Jan-Feb       Impact factor: 1.621

3.  Computational modeling of orientation tuning dynamics in monkey primary visual cortex.

Authors:  M C Pugh; D L Ringach; R Shapley; M J Shelley
Journal:  J Comput Neurosci       Date:  2000 Mar-Apr       Impact factor: 1.621

4.  On the simulation of large populations of neurons.

Authors:  A Omurtag; B W Knight; L Sirovich
Journal:  J Comput Neurosci       Date:  2000 Jan-Feb       Impact factor: 1.621

5.  A neuronal network model of macaque primary visual cortex (V1): orientation selectivity and dynamics in the input layer 4Calpha.

Authors:  D McLaughlin; R Shapley; M Shelley; D J Wielaard
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-05       Impact factor: 11.205

6.  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

7.  Efficient and accurate time-stepping schemes for integrate-and-fire neuronal networks.

Authors:  M J Shelley; L Tao
Journal:  J Comput Neurosci       Date:  2001 Sep-Oct       Impact factor: 1.621

8.  Localized bumps of activity sustained by inhibition in a two-layer thalamic network.

Authors:  J Rubin; D Terman; C Chow
Journal:  J Comput Neurosci       Date:  2001 May-Jun       Impact factor: 1.621

9.  Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition.

Authors:  N Brunel; X J Wang
Journal:  J Comput Neurosci       Date:  2001 Jul-Aug       Impact factor: 1.621

10.  Dynamics of spatial frequency tuning in macaque V1.

Authors:  C E Bredfeldt; D L Ringach
Journal:  J Neurosci       Date:  2002-03-01       Impact factor: 6.167

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