Literature DB >> 14629871

Lateral neural model of binocular rivalry.

Lars Stollenwerk1, Mathias Bode.   

Abstract

This article introduces a two-dimensionally extended, neuron-based model for binocular rivalry. The basic block of the model is a certain type of astable multivibrator comprising excitatory and inhibitory neurons. Many of these blocks are laterally coupled on a medium range to provide a two-dimensional layer. Our model, like others, needs noise to reproduce typical stochastic oscillations. Due to its spatial extension, the noise has to be laterally correlated. When the contrast ratio of the pictures varies, their share of the perception time changes in a way that is known from comparable experimental data (Levelt, 1965; Mueller & Blake, 1989). This is a result of the lateral coupling and not a property of the single model block. The presentation of simple and suitable inhomogeneous stimuli leads to an easily describable perception of periodically moving pictures like propagating fronts or breathing spots. This suggests new experiments. Under certain conditions, a bifurcation from static to moving perceptions is predicted and may be checked and employed by future experiments. Recent "paradox" (Logothetis, 1999) observations of two different neuron classes in cortical areas MT (Logothetis & Schall, 1989) and V4 (Leopold & Logothetis, 1996), one that behaves alike under rivaling and nonrivaling conditions and another that drastically changes its behavior, are interpreted as being related to separate inhibitor neurons.

Mesh:

Year:  2003        PMID: 14629871     DOI: 10.1162/089976603322518777

Source DB:  PubMed          Journal:  Neural Comput        ISSN: 0899-7667            Impact factor:   2.026


  24 in total

1.  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

2.  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

3.  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

4.  Role of mutual inhibition in binocular rivalry.

Authors:  Jeffrey Seely; Carson C Chow
Journal:  J Neurophysiol       Date:  2011-07-20       Impact factor: 2.714

5.  Can binocular rivalry reveal neural correlates of consciousness?

Authors:  Randolph Blake; Jan Brascamp; David J Heeger
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-03-17       Impact factor: 6.237

6.  A neural network model for exogenous perceptual alternations of the Necker cube.

Authors:  Osamu Araki; Yuki Tsuruoka; Tomokazu Urakawa
Journal:  Cogn Neurodyn       Date:  2019-12-02       Impact factor: 5.082

7.  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

8.  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

9.  Size matters: a study of binocular rivalry dynamics.

Authors:  Min-Suk Kang
Journal:  J Vis       Date:  2009-01-15       Impact factor: 2.240

10.  Periodic perturbations producing phase-locked fluctuations in visual perception.

Authors:  Min-Suk Kang; David Heeger; Randolph Blake
Journal:  J Vis       Date:  2009-02-09       Impact factor: 2.240

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