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Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits
Computational models are powerful tools for exploring the properties of complex biological systems. In neuroscience, data-driven models of neural circuits that span multiple scales are increasingly being used to understand brain function in health and disease. But their adoption and reuse has been l...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693896/ https://www.ncbi.nlm.nih.gov/pubmed/31201122 http://dx.doi.org/10.1016/j.neuron.2019.05.019 |
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author | Gleeson, Padraig Cantarelli, Matteo Marin, Boris Quintana, Adrian Earnshaw, Matt Sadeh, Sadra Piasini, Eugenio Birgiolas, Justas Cannon, Robert C. Cayco-Gajic, N. Alex Crook, Sharon Davison, Andrew P. Dura-Bernal, Salvador Ecker, András Hines, Michael L. Idili, Giovanni Lanore, Frederic Larson, Stephen D. Lytton, William W. Majumdar, Amitava McDougal, Robert A. Sivagnanam, Subhashini Solinas, Sergio Stanislovas, Rokas van Albada, Sacha J. van Geit, Werner Silver, R. Angus |
author_facet | Gleeson, Padraig Cantarelli, Matteo Marin, Boris Quintana, Adrian Earnshaw, Matt Sadeh, Sadra Piasini, Eugenio Birgiolas, Justas Cannon, Robert C. Cayco-Gajic, N. Alex Crook, Sharon Davison, Andrew P. Dura-Bernal, Salvador Ecker, András Hines, Michael L. Idili, Giovanni Lanore, Frederic Larson, Stephen D. Lytton, William W. Majumdar, Amitava McDougal, Robert A. Sivagnanam, Subhashini Solinas, Sergio Stanislovas, Rokas van Albada, Sacha J. van Geit, Werner Silver, R. Angus |
author_sort | Gleeson, Padraig |
collection | PubMed |
description | Computational models are powerful tools for exploring the properties of complex biological systems. In neuroscience, data-driven models of neural circuits that span multiple scales are increasingly being used to understand brain function in health and disease. But their adoption and reuse has been limited by the specialist knowledge required to evaluate and use them. To address this, we have developed Open Source Brain, a platform for sharing, viewing, analyzing, and simulating standardized models from different brain regions and species. Model structure and parameters can be automatically visualized and their dynamical properties explored through browser-based simulations. Infrastructure and tools for collaborative interaction, development, and testing are also provided. We demonstrate how existing components can be reused by constructing new models of inhibition-stabilized cortical networks that match recent experimental results. These features of Open Source Brain improve the accessibility, transparency, and reproducibility of models and facilitate their reuse by the wider community. |
format | Online Article Text |
id | pubmed-6693896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-66938962019-08-19 Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits Gleeson, Padraig Cantarelli, Matteo Marin, Boris Quintana, Adrian Earnshaw, Matt Sadeh, Sadra Piasini, Eugenio Birgiolas, Justas Cannon, Robert C. Cayco-Gajic, N. Alex Crook, Sharon Davison, Andrew P. Dura-Bernal, Salvador Ecker, András Hines, Michael L. Idili, Giovanni Lanore, Frederic Larson, Stephen D. Lytton, William W. Majumdar, Amitava McDougal, Robert A. Sivagnanam, Subhashini Solinas, Sergio Stanislovas, Rokas van Albada, Sacha J. van Geit, Werner Silver, R. Angus Neuron Article Computational models are powerful tools for exploring the properties of complex biological systems. In neuroscience, data-driven models of neural circuits that span multiple scales are increasingly being used to understand brain function in health and disease. But their adoption and reuse has been limited by the specialist knowledge required to evaluate and use them. To address this, we have developed Open Source Brain, a platform for sharing, viewing, analyzing, and simulating standardized models from different brain regions and species. Model structure and parameters can be automatically visualized and their dynamical properties explored through browser-based simulations. Infrastructure and tools for collaborative interaction, development, and testing are also provided. We demonstrate how existing components can be reused by constructing new models of inhibition-stabilized cortical networks that match recent experimental results. These features of Open Source Brain improve the accessibility, transparency, and reproducibility of models and facilitate their reuse by the wider community. Cell Press 2019-08-07 /pmc/articles/PMC6693896/ /pubmed/31201122 http://dx.doi.org/10.1016/j.neuron.2019.05.019 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gleeson, Padraig Cantarelli, Matteo Marin, Boris Quintana, Adrian Earnshaw, Matt Sadeh, Sadra Piasini, Eugenio Birgiolas, Justas Cannon, Robert C. Cayco-Gajic, N. Alex Crook, Sharon Davison, Andrew P. Dura-Bernal, Salvador Ecker, András Hines, Michael L. Idili, Giovanni Lanore, Frederic Larson, Stephen D. Lytton, William W. Majumdar, Amitava McDougal, Robert A. Sivagnanam, Subhashini Solinas, Sergio Stanislovas, Rokas van Albada, Sacha J. van Geit, Werner Silver, R. Angus Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits |
title | Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits |
title_full | Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits |
title_fullStr | Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits |
title_full_unstemmed | Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits |
title_short | Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits |
title_sort | open source brain: a collaborative resource for visualizing, analyzing, simulating, and developing standardized models of neurons and circuits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693896/ https://www.ncbi.nlm.nih.gov/pubmed/31201122 http://dx.doi.org/10.1016/j.neuron.2019.05.019 |
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