Literature DB >> 14612564

Computational evidence for a rivalry hierarchy in vision.

Hugh R Wilson1.   

Abstract

Cortical-form vision comprises multiple, hierarchically arranged areas with feedforward and feedback interconnections. This complex architecture poses difficulties for attempts to link perceptual phenomena to activity at a particular level of the system. This difficulty has been especially salient in studies of binocular rivalry alternations, where there is seemingly conflicting evidence for a locus in primary visual cortex or alternatively in higher cortical areas devoted to object perception. Here, I use a competitive neural model to demonstrate that the data require at least two hierarchic rivalry stages for their explanation. This model demonstrates that competitive inhibition in the first rivalry stage can be eliminated by using suitable stimulus dynamics, thereby revealing properties of a later stage, a result obtained with both spike-rate and conductance-based model neurons. This result provides a synthesis of competing rivalry theories and suggests that neural competition may be a general characteristic throughout the form-vision hierarchy.

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Year:  2003        PMID: 14612564      PMCID: PMC283620          DOI: 10.1073/pnas.2333622100

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  25 in total

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Authors:  A Polonsky; R Blake; J Braun; D J Heeger
Journal:  Nat Neurosci       Date:  2000-11       Impact factor: 24.884

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Authors:  Carlo R Laing; Carson C Chow
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Journal:  Proc Natl Acad Sci U S A       Date:  1989-10       Impact factor: 11.205

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Journal:  Perception       Date:  1988       Impact factor: 1.490

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Journal:  Perception       Date:  1983       Impact factor: 1.490

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Authors:  D G Albrecht; D B Hamilton
Journal:  J Neurophysiol       Date:  1982-07       Impact factor: 2.714

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  122 in total

1.  BINOCULAR RIVALRY AND NEURAL DYNAMICS.

Authors:  Randolph Blake; Sang-Hun Lee; David Heeger
Journal:  Psichologija (Vilniaus Univ)       Date:  2008-06-01

2.  Mechanisms for Frequency Control in Neuronal Competition Models.

Authors:  Rodica Curtu; Asya Shpiro; Nava Rubin; John Rinzel
Journal:  SIAM J Appl Dyn Syst       Date:  2008       Impact factor: 2.316

3.  Visual sensitivity underlying changes in visual consciousness.

Authors:  David Alais; John Cass; Robert P O'Shea; Randolph Blake
Journal:  Curr Biol       Date:  2010-07-01       Impact factor: 10.834

4.  Differential control of active and silent phases in relaxation models of neuronal rhythms.

Authors:  Joël Tabak; Michael J O'Donovan; John Rinzel
Journal:  J Comput Neurosci       Date:  2006-07-28       Impact factor: 1.621

5.  A gain-control theory of binocular combination.

Authors:  Jian Ding; George Sperling
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-12       Impact factor: 11.205

6.  Dynamical characteristics common to neuronal competition models.

Authors:  Asya Shpiro; Rodica Curtu; John Rinzel; Nava Rubin
Journal:  J Neurophysiol       Date:  2006-10-25       Impact factor: 2.714

7.  Noise-induced alternations in an attractor network model of perceptual bistability.

Authors:  Rubén Moreno-Bote; John Rinzel; Nava Rubin
Journal:  J Neurophysiol       Date:  2007-07-05       Impact factor: 2.714

8.  Individual differences in the temporal dynamics of binocular rivalry and stimulus rivalry.

Authors:  Vaama Patel; Sjoerd Stuit; Randolph Blake
Journal:  Psychon Bull Rev       Date:  2015-04

9.  Nonlinear SSVEP responses are sensitive to the perceptual binding of visual hemifields during conventional 'eye' rivalry and interocular 'percept' rivalry.

Authors:  David Sutoyo; Ramesh Srinivasan
Journal:  Brain Res       Date:  2008-10-14       Impact factor: 3.252

10.  Bi-stable depth ordering of superimposed moving gratings.

Authors:  Rubén Moreno-Bote; Asya Shpiro; John Rinzel; Nava Rubin
Journal:  J Vis       Date:  2008-07-31       Impact factor: 2.240

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