作者: Rodrigo Cofré , Cesar Maldonado , Bruno Cessac
DOI: 10.3390/E22111330
关键词: Principle of maximum entropy 、 Dynamical systems theory 、 Probability measure 、 Variational principle 、 Statistical inference 、 Statistics 、 Mathematical model 、 Complex system 、 Spike train 、 Computer 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.