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Controlling bistability in a stochastic perception model
Alexander Pisarchik
En Embargo
01-08-2020
Atribución-NoComercial-SinDerivadas
Using a simple bistable perception model, we demonstrate how coexisting states can be controlled by periodic modulation applied to a control parameter responsible for the interpretation of ambiguous images. Because of stochastic processes in the brain, any percept is statistically recognized and multistability in perception never occurs. A stable periodic orbit created by the control modulation splits in two limit cycles in an inverse gluing bifurcation, which occurs when the modulation frequency increases. The statistical analysis of transitions between the coexisting states in the presence of noise reveals conditions under which an ambiguous image can be interpreted in a desired way determined by the control.
27-07-2015
Artículo
CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA
Aparece en las colecciones: Articulos Arbitrados 2015