Dynamical Characteristics Common to Neuronal Competition Models

Asya Shpiro; Rodica Curtu; John Rinzel; Nava Rubin

doi:10.1152/jn.00604.2006

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Dynamical Characteristics Common to Neuronal Competition Models

Journal article

Peer reviewed

Dynamical Characteristics Common to Neuronal Competition Models

Asya Shpiro, Rodica Curtu, John Rinzel and Nava Rubin

Journal of neurophysiology, Vol.97(1), pp.462-473

01/2007

DOI: 10.1152/jn.00604.2006

PMCID: PMC2702527

PMID: 17065254

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Abstract

Models implementing neuronal competition by reciprocally inhibitory populations are widely used to characterize bistable phenomena such as binocular rivalry. We find common dynamical behavior in several models of this general type, which differ in their architecture in the form of their gain functions, and in how they implement the slow process that underlies alternating dominance. We focus on examining the effect of the input strength on the rate (and existence) of oscillations. In spite of their differences, all considered models possess similar qualitative features, some of which we report here for the first time. Experimentally, dominance durations have been reported to decrease monotonically with increasing stimulus strength (such as Levelt's “Proposition IV”). The models predict this behavior; however, they also predict that at a lower range of input strength dominance durations increase with increasing stimulus strength. The nonmonotonic dependency of duration on stimulus strength is common to both deterministic and stochastic models. We conclude that additional experimental tests of Levelt's Proposition IV are needed to reconcile models and perception.

Details

Title: Subtitle: Dynamical Characteristics Common to Neuronal Competition Models
Creators: Asya Shpiro - Center for Neural Science, New York University, New York, New York
Rodica Curtu - Department of Math Analysis and Probabilities, Transilvania University of Brasov, Brasov, Romania
John Rinzel - Center for Neural Science, New York University, New York, New York
Nava Rubin - Center for Neural Science, New York University, New York, New York
Resource Type: Journal article
Publication Details: Journal of neurophysiology, Vol.97(1), pp.462-473
DOI: 10.1152/jn.00604.2006
PMID: 17065254
PMCID: PMC2702527
NLM abbreviation: J Neurophysiol
ISSN: 0022-3077
eISSN: 1522-1598
Language: English
Date published: 01/2007
Academic Unit: Iowa Neuroscience Institute; Mathematics
Record Identifier: 9984070238002771

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