Literature DB >> 11784742

Quantitative analysis of the responses of V1 neurons to horizontal disparity in dynamic random-dot stereograms.

S J D Prince1, A D Pointon, B G Cumming, A J Parker.   

Abstract

Horizontal disparity tuning for dynamic random-dot stereograms was investigated for a large population of neurons (n = 787) in V1 of the awake macaque. Disparity sensitivity was quantified using a measure of the discriminability of the maximum and minimum points on the disparity tuning curve. This measure and others revealed a continuum of selectivity rather than separate populations of disparity- and nondisparity-sensitive neurons. Although disparity sensitivity was correlated with the degree of direction tuning, it was not correlated with other significant neuronal properties, including preferred orientation and ocular dominance. In accordance with the Gabor energy model, tuning curves for horizontal disparity were adequately described by Gabor functions when the neuron's orientation preference was near vertical. For neurons with orientation preferences near to horizontal, a Gaussian function was more frequently sufficient. The spatial frequency of the Gabor function that described the disparity tuning was weakly correlated with measurements of the spatial frequency and orientation preference of the neuron for drifting sinusoidal gratings. Energy models make several predictions about the relationship between the response rates to monocular and binocular dot patterns. Few of the predictions were fulfilled exactly, although the observations can be reconciled with the energy model by simple modifications. These same modifications also provide an account of the observed continuum in strength of disparity selectivity. A weak correlation between the disparity sensitivity of simultaneously recorded single- and multiunit data were revealed as well as a weak tendency to show similar disparity preferences. This is compatible with a degree of local clustering for disparity sensitivity in V1, although this is much weaker than that reported in area MT.

Mesh:

Year:  2002        PMID: 11784742     DOI: 10.1152/jn.00465.2000

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


  95 in total

1.  Responses of macaque V1 neurons to binocular orientation differences.

Authors:  H Bridge; B G Cumming
Journal:  J Neurosci       Date:  2001-09-15       Impact factor: 6.167

2.  Measuring V1 receptive fields despite eye movements in awake monkeys.

Authors:  Jenny C A Read; Bruce G Cumming
Journal:  J Neurophysiol       Date:  2003-04-23       Impact factor: 2.714

3.  Contribution of middle temporal area to coarse depth discrimination: comparison of neuronal and psychophysical sensitivity.

Authors:  Takanori Uka; Gregory C DeAngelis
Journal:  J Neurosci       Date:  2003-04-15       Impact factor: 6.167

4.  Suppressive mechanisms in monkey V1 help to solve the stereo correspondence problem.

Authors:  Seiji Tanabe; Ralf M Haefner; Bruce G Cumming
Journal:  J Neurosci       Date:  2011-06-01       Impact factor: 6.167

5.  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

6.  Short-latency disparity-vergence eye movements in humans: sensitivity to simulated orthogonal tropias.

Authors:  D-S Yang; E J FitzGibbon; F A Miles
Journal:  Vision Res       Date:  2003-02       Impact factor: 1.886

7.  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 8.  Early computational processing in binocular vision and depth perception.

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

9.  Relative luminance and binocular disparity preferences are correlated in macaque primary visual cortex, matching natural scene statistics.

Authors:  Jason M Samonds; Brian R Potetz; Tai Sing Lee
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-02       Impact factor: 11.205

10.  Experience-dependent and independent binocular correspondence of receptive field subregions in mouse visual cortex.

Authors:  Rashmi Sarnaik; Bor-Shuen Wang; Jianhua Cang
Journal:  Cereb Cortex       Date:  2013-02-06       Impact factor: 5.357

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