Literature DB >> 27269609

Effects of generalized pooling on binocular disparity selectivity of neurons in the early visual cortex.

Daisuke Kato1, Mika Baba2, Kota S Sasaki3, Izumi Ohzawa4.   

Abstract

The key problem of stereoscopic vision is traditionally defined as accurately finding the positional shifts of corresponding object features between left and right images. Here, we demonstrate that the problem must be considered in a four-dimensional parameter space; with respect not only to shifts in space (X, Y), but also spatial frequency (SF) and orientation (OR). The proposed model sums outputs of binocular energy units linearly over the multi-dimensional V1 parameter space (X, Y, SF, OR). Theoretical analyses and physiological experiments show that many binocular neurons achieve sharp binocular tuning properties by pooling the output of multiple neurons with relatively broad tuning. Pooling in the space domain sharpens disparity-selective responses in the SF domain so that the responses to combinations of unmatched left-right SFs are attenuated. Conversely, pooling in the SF domain sharpens disparity selectivity in the space domain, reducing the possibility of false matches. Analogous effects are observed for the OR domain in that the spatial pooling sharpens the binocular tuning in the OR domain. Such neurons become selective to relative OR disparity. Therefore, pooling allows the visual system to refine binocular information into a form more desirable for stereopsis.This article is part of the themed issue 'Vision in our three-dimensional world'.
© 2016 The Author(s).

Keywords:  binocular vision; orientation; receptive field; spatial frequency; stereopsis; striate cortex

Mesh:

Year:  2016        PMID: 27269609      PMCID: PMC4901460          DOI: 10.1098/rstb.2015.0266

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  40 in total

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Authors:  A Anzai; I Ohzawa; R D Freeman
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3.  Responses of macaque V1 neurons to binocular orientation differences.

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5.  Accuracy of subspace mapping of spatiotemporal frequency domain visual receptive fields.

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6.  Stereoscopic depth discrimination in the visual cortex: neurons ideally suited as disparity detectors.

Authors:  I Ohzawa; G C DeAngelis; R D Freeman
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7.  Physiological computation of binocular disparity.

Authors:  N Qian; Y Zhu
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8.  Performance-optimized hierarchical models predict neural responses in higher visual cortex.

Authors:  Daniel L K Yamins; Ha Hong; Charles F Cadieu; Ethan A Solomon; Darren Seibert; James J DiCarlo
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-08       Impact factor: 11.205

9.  A second neural mechanism of binocular depth discrimination.

Authors:  C Blakemore; A Fiorentini; L Maffei
Journal:  J Physiol       Date:  1972-11       Impact factor: 5.182

10.  Integration of Multiple Spatial Frequency Channels in Disparity-Sensitive Neurons in the Primary Visual Cortex.

Authors:  Mika Baba; Kota S Sasaki; Izumi Ohzawa
Journal:  J Neurosci       Date:  2015-07-08       Impact factor: 6.167

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  4 in total

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2.  Vision in our three-dimensional world.

Authors:  Andrew J Parker
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-06-19       Impact factor: 6.237

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