Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms.

Petrovici, Mihai A; Vogginger, Bernhard; Müller, Paul; Breitwieser, Oliver; Lundqvist, Mikael; Muller, Lyle; Ehrlich, Matthias; Destexhe, Alain; Lansner, Anders; Schüffny, René; Schemmel, Johannes; Meier, Karlheinz

Petrovici, Mihai A; Vogginger, Bernhard; Müller, Paul; Breitwieser, Oliver; Lundqvist, Mikael; Muller, Lyle; Ehrlich, Matthias; Destexhe, Alain; Lansner, Anders; Schüffny, René; Schemmel, Johannes; Meier, Karlheinz.

Afiliação

Petrovici MA; Ruprecht-Karls-Universität Heidelberg, Kirchhoff Institute for Physics, Heidelberg, Germany.
Vogginger B; Technische Universität Dresden, Institute of Circuits and Systems, Dresden, Germany.
Müller P; Ruprecht-Karls-Universität Heidelberg, Kirchhoff Institute for Physics, Heidelberg, Germany.
Breitwieser O; Ruprecht-Karls-Universität Heidelberg, Kirchhoff Institute for Physics, Heidelberg, Germany.
Lundqvist M; Department of Computational Biology, School of Computer Science and Communication, Stockholm University and Royal Institute of Technology, Stockholm, Sweden.
Muller L; CNRS, Unité de Neuroscience, Information et Complexité, Gif sur Yvette, France.
Ehrlich M; Technische Universität Dresden, Institute of Circuits and Systems, Dresden, Germany.
Destexhe A; CNRS, Unité de Neuroscience, Information et Complexité, Gif sur Yvette, France.
Lansner A; Department of Computational Biology, School of Computer Science and Communication, Stockholm University and Royal Institute of Technology, Stockholm, Sweden.
Schüffny R; Technische Universität Dresden, Institute of Circuits and Systems, Dresden, Germany.
Schemmel J; Ruprecht-Karls-Universität Heidelberg, Kirchhoff Institute for Physics, Heidelberg, Germany.
Meier K; Ruprecht-Karls-Universität Heidelberg, Kirchhoff Institute for Physics, Heidelberg, Germany.

PLoS One ; 9(10): e108590, 2014.

Article em En | MEDLINE | ID: mdl-25303102

Assuntos

Simulação por Computador; Sistemas Computacionais; Redes Neurais de Computação; Computadores; Desenho de Equipamento; Modelos Neurológicos; Neurônios/fisiologia; Software

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação por Computador / Sistemas Computacionais / Redes Neurais de Computação Tipo de estudo: Prognostic_studies Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Alemanha

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google