NeuronNeurosciencePeer-reviewed journal article
Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits
Padraig GleesoniD, Matteo CantarelliiD, Bóris MariniD, Adrián Quintana, Matt EarnshawiD, Sadra SadehiD, Eugenio PiasiniiD, Justas BirgiolasiD, Robert Charles CannoniD, N. Alex Cayco-GajiciD, Sharon M. CrookiD, Andrew P. DavisoniD, Salvador Durá-BernaliD, András EckeriD, Michael L. HinesiD, Giovanni IdiliiD, Frédéric LanoreiD, Stephen LarsoniD, William W. LyttoniD, Amitava Majumdar, Robert A. McDougaliD, Subhashini SivagnanamiD, Sergio M. G. SolinasiD, Rokas StanislovasiD, Sacha Jennifer van AlbadaiD, , Robin Angus SilveriD
Abstract
Computational models are powerful tools for investigating brain function in health and disease. However, biologically detailed neuronal and circuit models are complex and implemented in a range of specialized languages, making them inaccessible and opaque to many neuroscientists. This has limited critical evaluation of models by the scientific community and impeded their refinement and widespread adoption. To address this, we have combined advances in standardizing models, open source software development and web technologies to develop Open Source Brain, a platform for visualizing, simulating, disseminating and collaboratively developing standardized models of neurons and circuits from a range of brain regions. Model structure and parameters can be visualized and their dynamical properties explored through browser-controlled simulations, without writing code. Open Source Brain makes neural models transparent and accessible and facilitates testing, critical evaluation and refinement, thereby helping to improve the accuracy and reproducibility of models, and their dissemination to the wider community.
- Citations
- 86
- FWCI
- 6.83
- Field percentile
- top 2%
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