Inference of topology and the nature of synapses, and the flow of information in neuronal networks.

Borges, F S; Lameu, E L; Iarosz, K C; Protachevicz, P R; Caldas, I L; Viana, R L; Macau, E E N; Batista, A M; Baptista, M S

Borges, F S; Lameu, E L; Iarosz, K C; Protachevicz, P R; Caldas, I L; Viana, R L; Macau, E E N; Batista, A M; Baptista, M S.

Afiliação

Borges FS; Physics Institute, University of São Paulo, São Paulo, SP 05508-090, Brazil.
Lameu EL; Center of Mathematics, Computation and Cognition, Federal University of ABC, São Bernardo do Campo, SP 09606-045, Brazil.
Iarosz KC; National Institute for Space Research, São José dos Campos, SP 12227-010, Brazil.
Protachevicz PR; Physics Institute, University of São Paulo, São Paulo, SP 05508-090, Brazil.
Caldas IL; Institute for Complex Systems and Mathematical Biology, University of Aberdeen, SUPA, AB24 3FX, United Kingdom.
Viana RL; Post-Graduation in Science, State University of Ponta Grossa, Ponta Grossa, PR 84030-900, Brazil.
Macau EEN; Physics Institute, University of São Paulo, São Paulo, SP 05508-090, Brazil.
Batista AM; Physics Department, Federal University of Paraná, Curitiba, PR 81531-980, Brazil.
Baptista MS; National Institute for Space Research, São José dos Campos, SP 12227-010, Brazil.

Phys Rev E ; 97(2-1): 022303, 2018 Feb.

Article em En | MEDLINE | ID: mdl-29548150

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Phys Rev E Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil

Texto completo

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XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Phys Rev E Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Brasil