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Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits.
Dai, Kael; Gratiy, Sergey L; Billeh, Yazan N; Xu, Richard; Cai, Binghuang; Cain, Nicholas; Rimehaug, Atle E; Stasik, Alexander J; Einevoll, Gaute T; Mihalas, Stefan; Koch, Christof; Arkhipov, Anton.
Afiliación
  • Dai K; Allen Institute, Seattle, Washington, United States of America.
  • Gratiy SL; Allen Institute, Seattle, Washington, United States of America.
  • Billeh YN; Allen Institute, Seattle, Washington, United States of America.
  • Xu R; Allen Institute, Seattle, Washington, United States of America.
  • Cai B; Allen Institute, Seattle, Washington, United States of America.
  • Cain N; Allen Institute, Seattle, Washington, United States of America.
  • Rimehaug AE; Norwegian University of Life Sciences & University of Oslo, Oslo, Norway.
  • Stasik AJ; Norwegian University of Life Sciences & University of Oslo, Oslo, Norway.
  • Einevoll GT; Norwegian University of Life Sciences & University of Oslo, Oslo, Norway.
  • Mihalas S; Allen Institute, Seattle, Washington, United States of America.
  • Koch C; Allen Institute, Seattle, Washington, United States of America.
  • Arkhipov A; Allen Institute, Seattle, Washington, United States of America.
PLoS Comput Biol ; 16(11): e1008386, 2020 11.
Article en En | MEDLINE | ID: mdl-33253147
ABSTRACT
Experimental studies in neuroscience are producing data at a rapidly increasing rate, providing exciting opportunities and formidable challenges to existing theoretical and modeling approaches. To turn massive datasets into predictive quantitative frameworks, the field needs software solutions for systematic integration of data into realistic, multiscale models. Here we describe the Brain Modeling ToolKit (BMTK), a software suite for building models and performing simulations at multiple levels of resolution, from biophysically detailed multi-compartmental, to point-neuron, to population-statistical approaches. Leveraging the SONATA file format and existing software such as NEURON, NEST, and others, BMTK offers a consistent user experience across multiple levels of resolution. It permits highly sophisticated simulations to be set up with little coding required, thus lowering entry barriers to new users. We illustrate successful applications of BMTK to large-scale simulations of a cortical area. BMTK is an open-source package provided as a resource supporting modeling-based discovery in the community.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Encéfalo / Mapeo Encefálico / Biología Computacional Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Encéfalo / Mapeo Encefálico / Biología Computacional Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos