Reduced models for binocular rivalry

Carlo R. Laing, Thomas Frewen, Ioannis G. Kevrekidis

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Binocular rivalry occurs when two very different images are presented to the two eyes, but a subject perceives only one image at a given time. A number of computational models for binocular rivalry have been proposed; most can be categorised as either "rate" models, containing a small number of variables, or as more biophysically-realistic "spiking neuron" models. However, a principled derivation of a reduced model from a spiking model is lacking. We present two such derivations, one heuristic and a second using recently-developed data-mining techniques to extract a small number of "macroscopic" variables from the results of a spiking neuron model simulation. We also consider bifurcations that can occur as parameters are varied, and the role of noise in such systems. Our methods are applicable to a number of other models of interest.

Original languageEnglish (US)
Pages (from-to)459-476
Number of pages18
JournalJournal of Computational Neuroscience
Volume28
Issue number3
DOIs
StatePublished - Jun 1 2010

All Science Journal Classification (ASJC) codes

  • Sensory Systems
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

Keywords

  • Binocular rivalry
  • Data-mining
  • Diffusion map
  • Macroscopic

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