Carrillo, JoséCordier, StéphaneDeco, GustavoMancini, Simona2016-02-172016-02-172013Carrillo JA, Cordier S, Deco G, Mancini S. Complexity reduction of rate-equations models for two-choice decision-making. PLoS ONE. 2013;8(12):1-10. DOI: 10.1371/journal.pone.00808201932-6203http://hdl.handle.net/10230/25868We are concerned with the complexity reduction of a stochastic system of differential equations governing the dynamics of/na neuronal circuit describing a decision-making task. This reduction is based on the slow-fast behavior of the problem and/nholds on the whole phase space and not only locally around the spontaneous state. Macroscopic quantities, such as/nperformance and reaction times, computed applying this reduction are in agreement with previous works in which the/ncomplexity reduction is locally performed at the spontaneous point by means of a Taylor expansion.application/pdfeng© 2013 Carrillo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits/nunrestricted use, distribution, and reproduction in any medium, provided the original author and source are creditedComplexity reduction of rate-equations models for two-choice decision-makinginfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1371/journal.pone.0080820info:eu-repo/semantics/openAccess