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脑建模工具包:用于大脑回路多尺度建模的开源软件套件。

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

机构信息

Allen Institute, Seattle, Washington, United States of America.

Norwegian University of Life Sciences & University of Oslo, Oslo, Norway.

出版信息

PLoS Comput Biol. 2020 Nov 30;16(11):e1008386. doi: 10.1371/journal.pcbi.1008386. eCollection 2020 Nov.

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.

摘要

神经科学的实验研究正在以快速增长的速度产生数据,这为现有的理论和建模方法提供了令人兴奋的机会和巨大的挑战。为了将大规模数据集转化为可预测的定量框架,该领域需要软件解决方案,以便将数据系统地集成到现实的多尺度模型中。在这里,我们描述了 Brain Modeling ToolKit(BMTK),这是一个用于在多个分辨率水平上构建模型和进行模拟的软件套件,从具有生物物理细节的多室模型到点神经元模型再到群体统计方法。利用 SONATA 文件格式和现有的软件,如 NEURON、NEST 等,BMTK 在多个分辨率水平上提供了一致的用户体验。它允许使用很少的编码来设置非常复杂的模拟,从而降低了新用户的入门门槛。我们举例说明了 BMTK 在大规模皮质区域模拟中的成功应用。BMTK 是一个开源软件包,作为支持社区基于模型的发现的资源提供。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a61/7728187/8a68b84f4be9/pcbi.1008386.g001.jpg

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