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Approximate Inference for Time-Varying Interactions and Macroscopic Dynamics of Neural Populations

The models in statistical physics such as an Ising model offer a convenient way to characterize stationary activity of neural populations. Such stationary activity of neurons may be expected for recordings from in vitro slices or anesthetized animals. However, modeling activity of cortical circuitri...

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Detalles Bibliográficos
Autores principales:	Donner, Christian, Obermayer, Klaus, Shimazaki, Hideaki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5283755/ https://www.ncbi.nlm.nih.gov/pubmed/28095421 http://dx.doi.org/10.1371/journal.pcbi.1005309

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