Literature DB >> 12688669

A simple model accounts for the response of disparity-tuned V1 neurons to anticorrelated images.

Jenny C A Read1, Andrew J Parker, Bruce G Cumming.   

Abstract

Disparity-tuned cells in primary visual cortex (VI) are thought to play a significant role in the processing of stereoscopic depth. The disparity-specific responses of these neurons have been previously described by an energy model based on local, feedforward interactions. This model fails to predict the response to binocularly anticorrelated stimuli, in which images presented to left and right eyes have opposite contrasts. The original energy model predicts that anticorrelation should invert the disparity tuning curve (phase difference pi), with no change in the amplitude of the response. Experimentally, the amplitude tends to be reduced with anticorrelated stimuli and a spread of phase differences is observed, although phase differences near pi are the most common. These experimental observations could potentially reflect a modulation of the V1 signals by feedback from higher visual areas (because anticorrelated stimuli create a weaker or nonexistent stereoscopic depth sensation). This hypothesis could explain the effects on amplitude, but the spread of phase differences is harder to understand. Here, we demonstrate that changes in both amplitude and phase can be explained by a straightforward modification of the energy model that involves only local processing. Input from each eye is passed through a monocular simple cell, incorporating a threshold, before being combined at a binocular simple cell that feeds into the energy computation. Since this local feedforward model can explain the responses of complex cells to both correlated and anticorrelated stimuli, there is no need to invoke any influence of global stereoscopic matching.

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Year:  2002        PMID: 12688669     DOI: 10.1017/s0952523802196052

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


  41 in total

1.  Ocular dominance predicts neither strength nor class of disparity selectivity with random-dot stimuli in primate V1.

Authors:  Jenny C A Read; Bruce G Cumming
Journal:  J Neurophysiol       Date:  2003-10-01       Impact factor: 2.714

2.  Testing quantitative models of binocular disparity selectivity in primary visual cortex.

Authors:  Jenny C A Read; Bruce G Cumming
Journal:  J Neurophysiol       Date:  2003-07-16       Impact factor: 2.714

Review 3.  Early computational processing in binocular vision and depth perception.

Authors:  Jenny Read
Journal:  Prog Biophys Mol Biol       Date:  2005-01       Impact factor: 3.667

4.  Pooled, but not single-neuron, responses in macaque V4 represent a solution to the stereo correspondence problem.

Authors:  Mohammad Abdolrahmani ا; Takahiro Doi; Hiroshi M Shiozaki; Ichiro Fujita
Journal:  J Neurophysiol       Date:  2016-02-03       Impact factor: 2.714

5.  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

6.  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

7.  The wallpaper illusion explained.

Authors:  Suzanne P McKee; Preeti Verghese; Anna Ma-Wyatt; Yury Petrov
Journal:  J Vis       Date:  2007-12-11       Impact factor: 2.240

8.  Adaptation to natural binocular disparities in primate V1 explained by a generalized energy model.

Authors:  Ralf M Haefner; Bruce G Cumming
Journal:  Neuron       Date:  2008-01-10       Impact factor: 17.173

9.  Human vergence eye movements to oblique disparity stimuli: evidence for an anisotropy favoring horizontal disparities.

Authors:  H A Rambold; F A Miles
Journal:  Vision Res       Date:  2008-09       Impact factor: 1.886

10.  Understanding the cortical specialization for horizontal disparity.

Authors:  Jenny C A Read; Bruce G Cumming
Journal:  Neural Comput       Date:  2004-10       Impact factor: 2.026

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