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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7728187 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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