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Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits

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 s...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728187/
https://www.ncbi.nlm.nih.gov/pubmed/33253147
http://dx.doi.org/10.1371/journal.pcbi.1008386
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author 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
author_facet 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
author_sort Dai, Kael
collection PubMed
description 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.
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spelling pubmed-77281872020-12-16 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 PLoS Comput Biol Research Article 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. Public Library of Science 2020-11-30 /pmc/articles/PMC7728187/ /pubmed/33253147 http://dx.doi.org/10.1371/journal.pcbi.1008386 Text en © 2020 Dai et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
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
Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits
title Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits
title_full Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits
title_fullStr Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits
title_full_unstemmed Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits
title_short Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits
title_sort brain modeling toolkit: an open source software suite for multiscale modeling of brain circuits
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728187/
https://www.ncbi.nlm.nih.gov/pubmed/33253147
http://dx.doi.org/10.1371/journal.pcbi.1008386
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