Optimal Interplay between Synaptic Strengths and Network Structure Enhances Activity Fluctuations and Information Propagation in Hierarchical Modular Networks.

Pena, Rodrigo F O; Lima, Vinicius; O Shimoura, Renan; Paulo Novato, João; Roque, Antonio C

Pena, Rodrigo F O; Lima, Vinicius; O Shimoura, Renan; Paulo Novato, João; Roque, Antonio C.

Afiliación

Pena RFO; Department of Physics, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, CEP 14040-901 Ribeirão Preto, SP, Brazil.
Lima V; Department of Physics, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, CEP 14040-901 Ribeirão Preto, SP, Brazil.
O Shimoura R; Department of Physics, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, CEP 14040-901 Ribeirão Preto, SP, Brazil.
Paulo Novato J; Department of Physics, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, CEP 14040-901 Ribeirão Preto, SP, Brazil.
Roque AC; Department of Physics, Faculty of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo, CEP 14040-901 Ribeirão Preto, SP, Brazil.

Brain Sci ; 10(4)2020 Apr 10.

Article en En | MEDLINE | ID: mdl-32290351

Palabras clave

cortical network models; delayed transfer entropy; hierarchical modular networks; neural activity fluctuations; neural information processing

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Brain Sci Año: 2020 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Suiza

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