Neural network mechanisms underlying stimulus driven variability reduction
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- dc.contributor.author Deco, Gustavoca
- dc.contributor.author Hugues, Etienneca
- dc.date.accessioned 2016-02-16T16:18:40Z
- dc.date.available 2016-02-16T16:18:40Z
- dc.date.issued 2016-02-16
- dc.description.abstract It is well established that the variability of the neural activity across trials, as measured by the Fano factor, is elevated. This/nfact poses limits on information encoding by the neural activity. However, a series of recent neurophysiological experiments/nhave changed this traditional view. Single cell recordings across a variety of species, brain areas, brain states and stimulus/nconditions demonstrate a remarkable reduction of the neural variability when an external stimulation is applied and when/nattention is allocated towards a stimulus within a neuron’s receptive field, suggesting an enhancement of information/nencoding. Using an heterogeneously connected neural network model whose dynamics exhibits multiple attractors, we/ndemonstrate here how this variability reduction can arise from a network effect. In the spontaneous state, we show that the/nhigh degree of neural variability is mainly due to fluctuation-driven excursions from attractor to attractor. This occurs when,/nin the parameter space, the network working point is around the bifurcation allowing multistable attractors. The application/nof an external excitatory drive by stimulation or attention stabilizes one specific attractor, eliminating in this way the/ntransitions between the different attractors and resulting in a net decrease in neural variability over trials. Importantly, nonresponsive/nneurons also exhibit a reduction of variability. Finally, this reduced variability is found to arise from an increased/nregularity of the neural spike trains. In conclusion, these results suggest that the variability reduction under stimulation and/nattention is a property of neural circuits.ca
- dc.description.sponsorship The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreements HEALTH F2 2008 200728 (Brainsync) and no. 269921 (BrainScaleS), from the Spanish Research Project SAF2010-16085 and from the CONSOLIDER-INGENIO 2010 Programme CSD2007-00012. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Deco G, Hugues E. Neural network mechanisms underlying stimulus driven variability reduction. PLoS Computational Biology. 2012;8(3):1-10. DOI: 10.1371/journal.pcbi.1002395
- dc.identifier.doi http://dx.doi.org/10.1371/journal.pcbi.1002395
- dc.identifier.issn 1553-734X
- dc.identifier.uri http://hdl.handle.net/10230/25841
- dc.language.iso engca
- dc.publisher Public Library of Scienceca
- dc.relation.ispartof PLoS Computational Biology. 2012;8(3):1-10
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/200728
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269921
- dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085
- dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012
- dc.rights © 2012 Deco and Hugues. 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.ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.title Neural network mechanisms underlying stimulus driven variability reductionca
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/publishedVersionca