Literature DB >> 12163540

Visual cortex neurons of monkeys and cats: temporal dynamics of the contrast response function.

Duane G Albrecht1, Wilson S Geisler, Robert A Frazor, Alison M Crane.   

Abstract

Cortical neurons display two fundamental nonlinear response characteristics: contrast-set gain control (also termed contrast normalization) and response expansion (also termed half-squaring). These nonlinearities could play an important role in forming and maintaining stimulus selectivity during natural viewing, but only if they operate well within the time frame of a single fixation. To analyze the temporal dynamics of these nonlinearities, we measured the responses of individual neurons, recorded from the primary visual cortex of monkeys and cats, as a function of the contrast of transient stationary gratings that were presented for a brief interval (200 ms). We then examined 1) the temporal response profile (i.e., the post stimulus time histogram) as a function of contrast and 2) the contrast response function throughout the course of the temporal response. We found that the shape and complexity of the temporal response profile varies considerably from cell to cell. However, within a given cell, the shape remains relatively invariant as a function of contrast and appears to be simply scaled and shifted. Stated quantitatively, approximately 95% of the variation in the temporal responses as a function of contrast could be accounted for by scaling and shifting the average poststimulus time histogram. Equivalently, we found that the overall shape of the contrast response function (measured every 2 ms) remains relatively invariant from the onset through the entire temporal response. Further, the contrast-set gain control and the response expansion are fully expressed within the first 10 ms after the onset of the response. Stated quantitatively, the same, scaled Naka-Rushton equation (with the same half-saturation contrast and expansive response exponent) provides a good fit to the contrast response function from the first 10 ms through the last 10 ms of the temporal response. Based upon these measurements, it appears as though the two nonlinear properties, contrast-set gain control and response expansion, are present in full strength, virtually instantaneously, at the onset of the response. This observation suggests that response expansion and contrast-set gain control can influence the performance of visual cortex neurons very early in a single fixation, based on the contrast within that fixation. In the DISCUSSION, we consider the implications of the results within the context of 1) slower types of contrast gain control, 2) discrimination performance, 3) drifting steady-state measurements, 4) functional models that incorporate response expansion and contrast normalization, and 5) structural models of the biochemical and biophysical neural mechanisms.

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Year:  2002        PMID: 12163540     DOI: 10.1152/jn.2002.88.2.888

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  66 in total

1.  Human vergence eye movements initiated by competing disparities: evidence for a winner-take-all mechanism.

Authors:  B M Sheliga; E J FitzGibbon; F A Miles
Journal:  Vision Res       Date:  2006-11-21       Impact factor: 1.886

2.  Initial ocular following in humans: a response to first-order motion energy.

Authors:  B M Sheliga; K J Chen; E J Fitzgibbon; F A Miles
Journal:  Vision Res       Date:  2005-11       Impact factor: 1.886

3.  Habituation of retinal ganglion cell activity in response to steady state pattern visual stimuli in normal subjects.

Authors:  Vittorio Porciatti; Nancy Sorokac; William Buchser
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-04       Impact factor: 4.799

4.  Short-latency disparity vergence eye movements: a response to disparity energy.

Authors:  B M Sheliga; E J FitzGibbon; F A Miles
Journal:  Vision Res       Date:  2006-06-12       Impact factor: 1.886

5.  Attentional modulation of firing rate and synchrony in a model cortical network.

Authors:  Calin Buia; Paul Tiesinga
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

6.  A dynamic nonlinearity and spatial phase specificity in macaque V1 neurons.

Authors:  Patrick E Williams; Robert M Shapley
Journal:  J Neurosci       Date:  2007-05-23       Impact factor: 6.167

7.  Nearly instantaneous brightness induction.

Authors:  Barbara Blakeslee; Mark E McCourt
Journal:  J Vis       Date:  2008-02-29       Impact factor: 2.240

8.  Responses of neurons in primary visual cortex to transient changes in local contrast and luminance.

Authors:  Wilson S Geisler; Duane G Albrecht; Alison M Crane
Journal:  J Neurosci       Date:  2007-05-09       Impact factor: 6.167

9.  Comparison of contrast-response functions from multifocal visual-evoked potentials (mfVEPs) and functional MRI responses.

Authors:  Jason C Park; Xian Zhang; John Ferrera; Joy Hirsch; Donald C Hood
Journal:  J Vis       Date:  2008-10-22       Impact factor: 2.240

10.  The initial torsional Ocular Following Response (tOFR) in humans: a response to the total motion energy in the stimulus?

Authors:  B M Sheliga; E J Fitzgibbon; F A Miles
Journal:  J Vis       Date:  2009-11-09       Impact factor: 2.240

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