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Título:	Changes of mind in an attractor network of decision-making
Autor/a:	Albantakis, Larissa; Deco, Gustavo
Abstract:	Attractor networks successfully account for psychophysical and neurophysiological data in various decision-making tasks./nEspecially their ability to model persistent activity, a property of many neurons involved in decision-making, distinguishes/nthem from other approaches. Stable decision attractors are, however, counterintuitive to changes of mind. Here we/ndemonstrate that a biophysically-realistic attractor network with spiking neurons, in its itinerant transients towards the/nchoice attractors, can replicate changes of mind observed recently during a two-alternative random-dot motion (RDM) task./nBased on the assumption that the brain continues to evaluate available evidence after the initiation of a decision, the/nnetwork predicts neural activity during changes of mind and accurately simulates reaction times, performance and/npercentage of changes dependent on difficulty. Moreover, the model suggests a low decision threshold and high incoming/nactivity that drives the brain region involved in the decision-making process into a dynamical regime close to a bifurcation,/nwhich up to now lacked evidence for physiological relevance. Thereby, we further affirmed the general conformance of/nattractor networks with higher level neural processes and offer experimental predictions to distinguish nonlinear attractor/nfrom linear diffusion models.
Abstract:	The authors were supported by the Spanish Research Project BFU2007-61710/BFI and CONSOLIDER-INGENIO 2010 Programme CSD2007-00012 (“Bilingualism and Cognitive Neuroscience”). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Derechos:	@ 2011 Albantakis, Deco. 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 credited. http://creativecommons.org/licenses/by/4.0/
Tipo de documento:	Artículo Artículo - Versión publicada
Editor:	Public Library of Science
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