Literature DB >> 11110664

The contribution of noise to contrast invariance of orientation tuning in cat visual cortex.

J S Anderson1, I Lampl, D C Gillespie, D Ferster.   

Abstract

Feedforward models of visual cortex appear to be inconsistent with a well-known property of cortical cells: contrast invariance of orientation tuning. The models' fixed threshold broadens orientation tuning as contrast increases, whereas in real cells tuning width is invariant with contrast. We have compared the orientation tuning of spike and membrane potential responses in single cells. Both are contrast invariant, yet a threshold-linear relation applied to the membrane potential accurately predicts the orientation tuning of spike responses. The key to this apparent paradox lies in the noisiness of the membrane potential. Responses that are subthreshold on average are still capable of generating spikes on individual trials. Unlike the iceberg effect, contrast invariance remains intact even as threshold narrows orientation selectivity. Noise may, by extension, smooth the average relation between membrane potential and spike rate throughout the brain.

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Year:  2000        PMID: 11110664     DOI: 10.1126/science.290.5498.1968

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  150 in total

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4.  How noise contributes to contrast invariance of orientation tuning in cat visual cortex.

Authors:  D Hansel; C van Vreeswijk
Journal:  J Neurosci       Date:  2002-06-15       Impact factor: 6.167

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

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Journal:  J Neurosci       Date:  2002-07-01       Impact factor: 6.167

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

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7.  Gain control of firing rate by shunting inhibition: roles of synaptic noise and dendritic saturation.

Authors:  Steven A Prescott; Yves De Koninck
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-04       Impact factor: 11.205

8.  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

9.  An embedded network approach for scale-up of fluctuation-driven systems with preservation of spike information.

Authors:  David Cai; Louis Tao; David W McLaughlin
Journal:  Proc Natl Acad Sci U S A       Date:  2004-09-20       Impact factor: 11.205

10.  Reduction of spike afterdepolarization by increased leak conductance alters interspike interval variability.

Authors:  Fernando R Fernandez; John A White
Journal:  J Neurosci       Date:  2009-01-28       Impact factor: 6.167

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