Prediction of decisions from noise in the brain before the evidence is provided

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• dc.contributor.author Rolls, Edmund Tca
• dc.contributor.author Deco, Gustavoca
• dc.date.accessioned 2016-02-11T18:09:13Z
• dc.date.available 2016-02-11T18:09:13Z
• dc.date.issued 2011
• dc.description.abstract Can decisions be predicted from brain activity? It is frequently difficult in neuroimaging studies to determine this, because it is not easy to establish when the decision has been taken. In a rigorous approach to this issue, we show that in a neurally plausible integrate-and-fire attractor-based model of decision-making, the noise generated by the randomness in the spiking times of neurons can be used to predict a decision for 0.5 s or more before the decision cues are applied. The ongoing noise at the time the decision cues are applied influences which decision will be taken. It is possible to predict on a single trial to more than 68% correct which of two decisions will be taken. The prediction is made from the spontaneous firing before the decision cues are applied in the two populations of neurons that represent the decisions. Thus decisions can be partly predicted even before the decision cues are applied, due to noise in the decision-making process. This analysis has interesting implications for decision-making and free will, for it shows that random neuronal firing times can influence a decision before the evidence for the decision has been provided.ca
• dc.description.sponsorship Gustavo Deco received support from the McDonnell Centre for Cognitive Neuroscience at Oxford University, from European Union grant EC005-024, from the Spanish Research Project SAF2010-16085, and from the CONSOLIDER-INGENIO 2010 Programme CSD2007-00012. The research was supported by the Oxford Centre for Computational Neuroscience.
• dc.format.mimetype application/pdfca
• dc.identifier.citation Rolls ET, Gustavo D. Prediction of decisions from noise in the brain before the evidence is provided. Front. Neurosci. 2011;33(5):1-11. DOI: 10.3389/fnins.2011.00033.
• dc.identifier.doi http://dx.doi.org/10.3389/fnins.2011.00033
• dc.identifier.issn 1662-4548
• dc.identifier.uri http://hdl.handle.net/10230/25797
• dc.language.iso engca
• dc.publisher Frontiers Mediaca
• dc.relation.ispartof Frontiers in neuroscience. 2011;33(5):1-11
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012
• dc.rights © 2011 Rolls and Deco. This is an open-access article subject to an exclusive license agreement between the authors and Frontiers Media SA, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.ca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.rights.uri http://creativecommons.org/licenses/by/3.0/
• dc.subject.keyword Prediction
• dc.subject.keyword Decision-making
• dc.subject.keyword Decision prediction
• dc.subject.keyword Attractor network
• dc.subject.keyword Noise in the brain
• dc.subject.keyword fMRI
• dc.subject.keyword Computational neuroscience
• dc.subject.keyword Free will
• dc.title Prediction of decisions from noise in the brain before the evidence is providedca
• dc.type info:eu-repo/semantics/articleca
• dc.type.version info:eu-repo/semantics/publishedVersionca