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.
Publisher
Public Library of Science (PLoS)
Subject
Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics
Reference62 articles.
1. The Human Brain Project: Creating a European Research Infrastructure to Decode the Human Brain;K Amunts;Neuron,2016
2. High-Performance Computing in Neuroscience for Data-Driven Discovery, Integration, and Dissemination;KE Bouchard;Neuron,2016
3. Inferring cortical function in the mouse visual system through large-scale systems neuroscience;M Hawrylycz;Proc Natl Acad Sci U S A,2016
4. Big Science, Team Science, and Open Science for Neuroscience;C Koch;Neuron,2016
5. The BRAIN Initiative: Building, Strengthening, and Sustaining;CL Martin;Neuron,2016
Cited by
33 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献