Literature DB >> 8759452

Neural encoding of binocular disparity: energy models, position shifts and phase shifts.

D J Fleet1, H Wagner, D J Heeger.   

Abstract

Neurophysiological data support two models for the disparity selectivity of binocular simple and complex cells in primary visual cortex. These involve binocular combinations of monocular receptive fields that are shifted in retinal position (the position-shift model) or in phase (the phase-shift model) between the two eyes. This article presents a formal description and analysis of a binocular energy model with these forms of disparity selectivity. We propose how one might measure the relative contributions of phase and position shifts in simple and complex cells. The analysis also reveals ambiguities in disparity encoding that are inherent in these model neurons, suggesting a need for a second stage of processing. We propose that linear pooling of the binocular responses across orientations and scales (spatial frequency) is capable of producing an unambiguous representation of disparity.

Mesh:

Year:  1996        PMID: 8759452     DOI: 10.1016/0042-6989(95)00313-4

Source DB:  PubMed          Journal:  Vision Res        ISSN: 0042-6989            Impact factor:   1.886


  69 in total

1.  Size-disparity correlation in human binocular depth perception.

Authors:  S J Prince; R A Eagle
Journal:  Proc Biol Sci       Date:  1999-07-07       Impact factor: 5.349

2.  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

3.  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

4.  Hierarchical processing of horizontal disparity information in the visual forebrain of behaving owls.

Authors:  A Nieder; H Wagner
Journal:  J Neurosci       Date:  2001-06-15       Impact factor: 6.167

5.  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

6.  Reversed short-latency ocular following.

Authors:  G S Masson; D-S Yang; F A Miles
Journal:  Vision Res       Date:  2002-08       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.  Complex receptive fields in primary visual cortex.

Authors:  Luis M Martinez; Jose-Manuel Alonso
Journal:  Neuroscientist       Date:  2003-10       Impact factor: 7.519

Review 9.  Early computational processing in binocular vision and depth perception.

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

10.  Stereoacuity in the periphery is limited by internal noise.

Authors:  Susan G Wardle; Peter J Bex; John Cass; David Alais
Journal:  J Vis       Date:  2012-06-08       Impact factor: 2.240

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