Reduced models for binocular rivalry

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 biophysicallyrealistic “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. Keywords Binocular rivalry · Diffusion map · Macroscopic · Data-mining

• Type: Journal
• Year: 2010
• Where: JCNS
• Authors: Carlo R. Laing, Thomas Frewen, Ioannis G. Kevrekidis
• Keywords: Binocular Rivalry, JCNS 2010, Keywords Binocular Rivalry, Small Number