Reduced models for binocular rivalry

13 years 2 months ago

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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

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

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