Literature DB >> 16148271

Multistage model for binocular rivalry.

Alan W Freeman1.   

Abstract

Binocular rivalry is the alternating perception that occurs when incompatible stimuli are presented to the two eyes: one monocular stimulus dominates vision and then the other stimulus dominates, with a perceptual switch occurring every few seconds. There is a need for a binocular rivalry model that accounts for both well-established results on the timing of dominance intervals and for more recent evidence on the distributed neural processing of rivalry. The model for binocular rivalry developed here consists of four parallel visual channels, two driven by the left eye and two by the right. Each channel consists of several consecutive processing stages representing successively higher cortical levels, with mutual inhibition between the channels at each stage. All stages are architecturally identical. With n the number of stages, the model is implemented as 4n nonlinear differential equations using a total of eight parameters. Despite the simplicity of its architecture, the model accounts for a variety of experimental observations: 1) the increasing depth of rivalry at higher cortical areas, as shown in electrophysiological, imaging, and psychophysical experiments; 2) the unimodal probability density of dominance durations, where the mode is less than the mean; 3) the lack of correlation between successive dominance durations; 4) the effect of interocular stimulus differences on dominance duration; and 5) eye suppression, as opposed to feature suppression. The model is potentially applicable to issues of visual processing more general than binocular rivalry.

Mesh:

Year:  2005        PMID: 16148271     DOI: 10.1152/jn.00557.2005

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


  60 in total

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2.  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

3.  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

4.  Brain mechanisms for simple perception and bistable perception.

Authors:  Megan Wang; Daniel Arteaga; Biyu J He
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-13       Impact factor: 11.205

5.  Endogenous attention selection during binocular rivalry at early stages of visual processing.

Authors:  Jyoti Mishra; Steven A Hillyard
Journal:  Vision Res       Date:  2008-04-01       Impact factor: 1.886

6.  Reduced models for binocular rivalry.

Authors:  Carlo R Laing; Thomas Frewen; Ioannis G Kevrekidis
Journal:  J Comput Neurosci       Date:  2010-02-25       Impact factor: 1.621

7.  Genetic contribution to individual variation in binocular rivalry rate.

Authors:  Steven M Miller; Narelle K Hansell; Trung T Ngo; Guang B Liu; John D Pettigrew; Nicholas G Martin; Margaret J Wright
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-21       Impact factor: 11.205

8.  Long-range traveling waves of activity triggered by local dichoptic stimulation in V1 of behaving monkeys.

Authors:  Zhiyong Yang; David J Heeger; Randolph Blake; Eyal Seidemann
Journal:  J Neurophysiol       Date:  2014-10-15       Impact factor: 2.714

9.  Bistable perception modeled as competing stochastic integrations at two levels.

Authors:  Guido Gigante; Maurizio Mattia; Jochen Braun; Paolo Del Giudice
Journal:  PLoS Comput Biol       Date:  2009-07-10       Impact factor: 4.475

10.  Duality in binocular rivalry: distinct sensitivity of percept sequence and percept duration to imbalance between monocular stimuli.

Authors:  Chen Song; Haishan Yao
Journal:  PLoS One       Date:  2009-09-07       Impact factor: 3.240

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