Langevin vs. microscopic noise in a neuronal network of visual perception

Merk, I.; Trahe, Markus; Schnakenberg, J.

doi:10.1063/1.1302373

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2002

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“…They show a characteristic of gamma-distribution-like shape, as reported by Borsellino et al (1972), with steep initial increase and long tail. The variance and mean as well as the higher moments of skewness and curtosis vary between individuals (for details see Merk et al 2000). A chi-square test however rejected the hypothesis of an underlying gamma distribution.…”

Section: Methodsmentioning

confidence: 90%

A stochastic model of multistable visual perception

Merk¹,

Schnakenberg

2002

Biological Cybernetics

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Multistability in vision is an intriguing phenomenon that is currently not well understood. In this paper, we present a new, stochastic model for multistable visual perception. It is based on results of time series analysis of experimental data, yielding evidence for it being a linear, stochastic process. This is the outcome of testing for unstable periodic orbits and comparing the correlation dimension of the data to that of white noise. In the model, all degrees of freedom but one can be determined by general knowledge, thus resulting in a high degree of parsimony. The remaining parameter is used to model the individual characteristics that vary between subjects. Fitting simulations to the experimental data proves the parameter to be in a physiologically highly plausible range.

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Section: Methodsmentioning

confidence: 90%