Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics

作者: Rodrigo Cofré , Cesar Maldonado , Bruno Cessac

DOI: 10.3390/E22111330

关键词: Principle of maximum entropyDynamical systems theoryProbability measureVariational principleStatistical inferenceStatisticsMathematical modelComplex systemSpike trainComputer science

摘要: The Thermodynamic Formalism provides a rigorous mathematical framework for studying quantitative and qualitative aspects of dynamical systems. At its core, there is variational principle that corresponds, in simplest form, to the Maximum Entropy principle. It used as statistical inference procedure represent, by specific probability measures (Gibbs measures), collective behaviour complex This has found applications different domains science. In particular, it been fruitful influential neurosciences. this article, we review how can be exploited field theoretical neuroscience, conceptual operational tool, order link dynamics interacting neurons statistics action potentials from either experimental data or models. We comment on perspectives open problems neuroscience could addressed within formalism.

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