Literature DB >> 1772804

Motion selectivity and the contrast-response function of simple cells in the visual cortex.

D G Albrecht1, W S Geisler.   

Abstract

The responses of simple cells were recorded from the visual cortex of cats, as a function of the position and contrast of counterphase and drifting grating patterns, to assess whether direction selectivity can be accounted for on the basis of linear summation. The expected responses to a counterphase grating, given a strictly linear model, would be the sum of the responses to the two drifting components. The measured responses were not consistent with the linear prediction. For example, nearly all cells showed two positions where the responses approached zero (i.e. two "null phase positions"); this was true, even for the most direction selective cells. However, the measured responses were consistent with the hypothesis that direction selectivity is a consequence of the linear spatiotemporal receptive-field structure, coupled with the nonlinearities revealed by the contrast-response function: contrast gain control, halfwave rectification, and expansive exponent. When arranged in a particular sequence, each of these linear and nonlinear mechanisms performs a useful function in a general model of simple cells. The linear spatiotemporal receptive field initiates stimulus selectivity (for direction, orientation, spatial frequency, etc.). The expansive response exponent enhances selectivity. The contrast-set gain control maintains selectivity (over a wide range of contrasts, in spite of the limited dynamic response range and steep slope of the contrast-response function). Rectification conserves metabolic energy.

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Year:  1991        PMID: 1772804     DOI: 10.1017/s0952523800010336

Source DB:  PubMed          Journal:  Vis Neurosci        ISSN: 0952-5238            Impact factor:   3.241


  93 in total

1.  Motion opponency in visual cortex.

Authors:  D J Heeger; G M Boynton; J B Demb; E Seidemann; W T Newsome
Journal:  J Neurosci       Date:  1999-08-15       Impact factor: 6.167

2.  Contrast gain control in the visual cortex: monocular versus binocular mechanisms.

Authors:  A M Truchard; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  2000-04-15       Impact factor: 6.167

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.  Some transformations of color information from lateral geniculate nucleus to striate cortex.

Authors:  R L De Valois; N P Cottaris; S D Elfar; L E Mahon; J A Wilson
Journal:  Proc Natl Acad Sci U S A       Date:  2000-04-25       Impact factor: 11.205

5.  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

6.  Functional micro-organization of primary visual cortex: receptive field analysis of nearby neurons.

Authors:  G C DeAngelis; G M Ghose; I Ohzawa; R D Freeman
Journal:  J Neurosci       Date:  1999-05-15       Impact factor: 6.167

7.  Development of response timing and direction selectivity in cat visual thalamus and cortex.

Authors:  Alan B Saul; Jordan C Feidler
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

8.  A novel mechanism of response selectivity of neurons in cat visual cortex.

Authors:  Maxim Volgushev; Joachim Pernberg; Ulf T Eysel
Journal:  J Physiol       Date:  2002-04-01       Impact factor: 5.182

9.  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

10.  Space-time maps and two-bar interactions of different classes of direction-selective cells in macaque V-1.

Authors:  Bevil R Conway; Margaret S Livingstone
Journal:  J Neurophysiol       Date:  2003-05       Impact factor: 2.714

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