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dc.contributor.authorRouat, Jeanfr
dc.contributor.otherMolotchnikoff, Stephanefr
dc.date.accessioned2017-08-01T19:33:15Z
dc.date.available2017-08-01T19:33:15Z
dc.date.created2012fr
dc.date.issued2017-08-01
dc.identifierPMID:22201763fr
dc.identifier.urihttp://hdl.handle.net/11143/10984
dc.description.abstractAbstract : Many studies explored mechanisms through which the brain encodes sensory inputs allowing a coherent behavior. The brain could identify stimuli via a hierarchical stream of activity leading to a cardinal neuron responsive to one particular object. The opportunity to record from numerous neurons offered investigators the capability of examining simultaneously the functioning of many cells. These approaches suggested encoding processes that are parallel rather than serial. Binding the many features of a stimulus may be accomplished through an induced synchronization of cell’s action potentials. These interpretations are supported by experimental data and offer many advantages but also several shortcomings. We argue for a coding mechanism based on a sparse synchronization paradigm. We show that synchronization of spikes is a fast and efficient mode to encode the representation of objects based on feature bindings. We introduce the view that sparse synchronization coding presents an interesting venue in probing brain encoding mechanisms as it allows the functional establishment of multilayered and time-conditioned neuronal networks or multislice networks. We propose a model based on integrate-and-fire spiking neurons.fr
dc.language.isoengfr
dc.relation.ispartofISSN:1093-4715fr
dc.relation.ispartofFrontiers in biosciencefr
dc.rightsAttribution - Pas d’Utilisation Commerciale - Pas de Modification 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ca/*
dc.subjectNeurosciencefr
dc.subjectBrainfr
dc.subjectNeuronsfr
dc.subjectElectrophysiologyfr
dc.subjectModelingfr
dc.subjectSynchronizationfr
dc.subjectEncodingfr
dc.subjectReviewfr
dc.titleBrain at work : time, sparseness and superposition principlesfr
dc.typeArticlefr
udes.description.typestatusPost-publicationfr
udes.description.typepubRévisé et accepté par des pairsfr
udes.description.pages583-606fr
udes.description.period1;17fr
udes.description.diffusionDiffusé par Savoirs UdeS, le dépôt institutionnel de l'Université de Sherbrookefr
dc.identifier.bibliographicCitationMolotchnikoff, S., Rouat, J. (2012). Brain at work : time, sparseness and superposition principles. Frontiers in bioscience, 1;17, 583-606.fr
udes.description.sourceFrontiers in biosciencefr
udes.autorisation.depottruefr
udes.description.ordreauteursMolotchnikoff, Stephane; Rouat, Jeanfr


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Attribution - Pas d’Utilisation Commerciale - Pas de Modification 2.5 Canada
Except where otherwise noted, this document's license is described as Attribution - Pas d’Utilisation Commerciale - Pas de Modification 2.5 Canada