Title
Deterministic analysis of stochastic bifurcations in multi-stable neurodynamical systems.
Abstract
Many perceptual and cognitive processes, like decision-making and bistable perception, involve multistable phenomena under the influence of noise. The role of noise in a multistable neurodynamical system can be formally treated within the Fokker-Planck framework. Nevertheless, because of the underlying nonlinearities, one usually considers numerical simulations of the stochastic differential equations describing the original system, which are time consuming. An alternative analytical approach involves the derivation of reduced deterministic differential equations for the moments of the distribution of the activity of the neuronal populations. The study of the reduced deterministic system avoids time consuming computations associated with the need to average over many trials. We apply this technique to describe multistable phenomena. We show that increasing the noise amplitude results in a shifting of the bifurcation structure of the system.
Year
DOI
Venue
2007
10.1007/s00422-007-0144-6
Biological Cybernetics
Keywords
Field
DocType
Decision State,Moment Method,Binocular Rivalry,Escape Time,Bifurcation Structure
Differential equation,Bistability,Control theory,Stochastic differential equation,Deterministic system,Deterministic analysis,Amplitude,Mathematics,Bifurcation,Computation
Journal
Volume
Issue
ISSN
96
5
0340-1200
Citations 
PageRank 
References 
6
0.52
4
Authors
2
Name
Order
Citations
PageRank
Gustavo Deco11004156.20
Daniel Martí2242.20