Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics

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dc.contributor.authorCofré, Rodrigo
dc.date.accessioned2021-11-22T15:04:54Z
dc.date.available2021-11-22T15:04:54Z
dc.date.issued2020
dc.description.abstractThe Thermodynamic Formalism provides a rigorous mathematical framework for studying quantitative and qualitative aspects of dynamical systems. At its core, there is a variational principle that corresponds, in its simplest form, to the Maximum Entropy principle. It is used as a statistical inference procedure to represent, by specific probability measures (Gibbs measures), the collective behaviour of complex systems. This framework has found applications in different domains of science. In particular, it has been fruitful and influential in neurosciences. In this article, we review how the Thermodynamic Formalism can be exploited in the field of theoretical neuroscience, as a conceptual and operational tool, in order to link the dynamics of interacting neurons and the statistics of action potentials from either experimental data or mathematical models. We comment on perspectives and open problems in theoretical neuroscience that could be addressed within this formalismen_ES
dc.facultadFacultad de Ingenieríaen_ES
dc.identifier.doihttps://doi.org/10.3390/e22111330
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/2705
dc.language.isoenen_ES
dc.publisherMDPIen_ES
dc.sourceEntropyen_ES
dc.subjectTHERMODYNAMIC FORMALISMen_ES
dc.subjectNEURONAL NETWORKS DYNAMICSen_ES
dc.subjectMAXIMUM ENTROPY PRINCIPLEen_ES
dc.subjectFREE ENERGY AND PRESSUREen_ES
dc.subjectLINEAR RESPONSEen_ES
dc.subjectLARGE DEVIATIONSen_ES
dc.subjectERGODIC THEORYen_ES
dc.titleThermodynamic Formalism in Neuronal Dynamics and Spike Train Statisticsen_ES
dc.typeArticuloen_ES
uv.catalogadorRCR DIBRAen_ES
uv.departamentoCentro de Investigacion y Modelamiento de Fenomenos Aleatorios (CIMFAV)en_ES
uv.notageneralVarios autoresen_ES

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