Literature DB >> 3746398

The binocular organization of simple cells in the cat's visual cortex.

I Ohzawa, R D Freeman.   

Abstract

We have studied the manner by which inputs from the two eyes are combined in simple cells of the cat's visual cortex. The stimuli for this study are drifting sinusoidal gratings, shown dichoptically at optimal spatial frequency and orientation. The relative spatial phase (disparity) between the gratings for left and right eyes is varied over 360 degrees. Most simple cells show phase-specific binocular interaction such that response amplitudes and phases vary depending on the relative spatial phase. At one phase, response is greater than either of the monocular responses and often greater than the sum of the two. At the phase 180 degrees away from the optimal, the cell's responses are strongly inhibited and often completely suppressed. Phase-specific binocular interaction disappears when the gratings presented to one eye are made orthogonal to the optimal orientation. The degree of binocular interaction does not depend critically on the ocular dominance of the cells. Simple cells that are nearly equally dominated by each eye always exhibit strong phase-specific interaction. The majority of cells that are strongly dominated by one eye, and even those that appear monocular, show phase-dependent changes in responses. We examined the extent of binocular interaction for cells with preferred orientations near vertical compared with those tuned to other optimal orientations. If these cells are conveying information about depth, one might expect a greater degree of binocular phase-specificity for units preferring nearly vertical orientations, which would then be processing horizontal disparities. We find no evidence for this. Predictions of simple-cell responses are derived from a linear model of binocular convergence in which light-evoked neural signals from each eye are summed linearly to determine cell responses. Data from cells generally follow the prediction of the model for both response amplitude and phase. Deviations from predictions of the linear model are found for a minority of cells. This deviation may be accounted for by a threshold mechanism that comes into play after the linear binocular summation. A small proportion of simple cells that appear monocular by alternate tests of each eye show a purely inhibitory influence from the silent eye. This inhibition is not generally dependent on the relative phase of the gratings. We conclude that most binocular interaction in striate simple cells may be accounted for by linear summation of neural signals from each eye.(ABSTRACT TRUNCATED AT 400 WORDS)

Mesh:

Year:  1986        PMID: 3746398     DOI: 10.1152/jn.1986.56.1.221

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


  64 in total

1.  The subregion correspondence model of binocular simple cells.

Authors:  E Erwin; K D Miller
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.  Plasticity in adult cat visual cortex (area 17) following circumscribed monocular lesions of all retinal layers.

Authors:  M B Calford; C Wang; V Taglianetti; W J Waleszczyk; W Burke; B Dreher
Journal:  J Physiol       Date:  2000-04-15       Impact factor: 5.182

4.  Local disparity not perceived depth is signaled by binocular neurons in cortical area V1 of the Macaque.

Authors:  B G Cumming; A J Parker
Journal:  J Neurosci       Date:  2000-06-15       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.  Binocular unmasking with unequal interocular contrast: the case for multiple Cyclopean eyes.

Authors:  B Schneider; G Moraglia
Journal:  Percept Psychophys       Date:  1992-12

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.  Binocular integration of pattern motion signals by MT neurons and by human observers.

Authors:  Chris Tailby; Najib J Majaj; J Anthony Movshon
Journal:  J Neurosci       Date:  2010-05-26       Impact factor: 6.167

Review 10.  Neural-metabolic coupling in the central visual pathway.

Authors:  Ralph D Freeman; Baowang Li
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-10-05       Impact factor: 6.237

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.