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A Fluctuation-driven mechanism for slow decision processes in reverberant networks

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dc.contributor.author Martí, Daniel
dc.contributor.author Deco, Gustavo
dc.contributor.author Mattia, Maurizio
dc.contributor.author Gigante, Guido
dc.contributor.author Del Giudice, Paolo
dc.date.accessioned 2020-01-16T08:40:53Z
dc.date.available 2020-01-16T08:40:53Z
dc.date.issued 2008
dc.identifier.citation Martí D, Deco G, Mattia M, Gigante G, Del Giudice P. A Fluctuation-driven mechanism for slow decision processes in reverberant networks. PLoS One. 2008 Jul 2;3(7):e2534. DOI: 10.1371/journal.pone.0002534
dc.identifier.issn 1932-6203
dc.identifier.uri http://hdl.handle.net/10230/43299
dc.description.abstract The spike activity of cells in some cortical areas has been found to be correlated with reaction times and behavioral responses during two-choice decision tasks. These experimental findings have motivated the study of biologically plausible winner-take-all network models, in which strong recurrent excitation and feedback inhibition allow the network to form a categorical choice upon stimulation. Choice formation corresponds in these models to the transition from the spontaneous state of the network to a state where neurons selective for one of the choices fire at a high rate and inhibit the activity of the other neurons. This transition has been traditionally induced by an increase in the external input that destabilizes the spontaneous state of the network and forces its relaxation to a decision state. Here we explore a different mechanism by which the system can undergo such transitions while keeping the spontaneous state stable, based on an escape induced by finite-size noise from the spontaneous state. This decision mechanism naturally arises for low stimulus strengths and leads to exponentially distributed decision times when the amount of noise in the system is small. Furthermore, we show using numerical simulations that mean decision times follow in this regime an exponential dependence on the amplitude of noise. The escape mechanism provides thus a dynamical basis for the wide range and variability of decision times observed experimentally.
dc.description.sponsorship This research has been partially supported STREP “Decisions-in-Motion” (IST-027198).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Public Library of Science (PLoS)
dc.relation.ispartof PLoS One. 2008 Jul 2;3(7):e2534.
dc.rights © 2008 Marti et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.title A Fluctuation-driven mechanism for slow decision processes in reverberant networks
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1371/journal.pone.0002534
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP6/027198
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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