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• W2051296456 abstract "A nonlinear master equation (NLME) is proposed basedon general information measures.Classical and cut-off solutions of the NLME are considered.In the former case, the NLME exhibits uniquely defined stationary distributions. In the latter case, there are multiple stationary distributions.In particular, for classical solutions, it is shown that transient solutions converge to stationary distributions that maximize information measures (H-theorem). Cut-off distributions arestudied numerically for the Haken-Kelso-Bunz model. The Haken-Kelso-Bunz modelis known to describe multistable human motor control systems. It is shownthat a stochastic Haken-Kelso-Bunz model based on a NLME can exhibit multiplestationary cut-off distributions.In doing so, we illustrate that multistability in stochastic biological systems can beestablished by means of cut-off distributions." @default.
• W2051296456 created "2016-06-24" @default.
• W2051296456 creator A5023981151 @default.
• W2051296456 date "2004-01-01" @default.
• W2051296456 modified "2023-10-16" @default.
• W2051296456 title "On a Nonlinear Master Equation and the Haken-Kelso-Bunz Model" @default.
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• W2051296456 doi "https://doi.org/10.1023/b:jobp.0000035845.80069.b5" @default.
• W2051296456 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3456490" @default.
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