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Open Source Brain: A Collaborative Resource for Visualizing, Analyzing, Simulating, and Developing Standardized Models of Neurons and Circuits

机译:开源大脑:用于可视化,分析,模拟和开发神经元和电路标准化模型的协作资源

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摘要

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 repro-ducibility of models and facilitate their reuse by the wider community.
机译:计算模型是探索复杂生物系统性质的强大工具。在神经科学中,跨越多个尺度的神经电路的数据驱动模型越来越多地用于了解健康和疾病中的大脑功能。但他们的采用和重用受评估和使用它们所需的专业知识的限制。为解决此问题,我们开发了开源大脑,一个用于共享,查看,分析和模拟不同脑区和物种的标准化模型的平台。可以自动可视化模型结构和参数,并通过基于浏览器的模拟探索的动态属性。还提供了用于协作互动,开发和测试的基础设施和工具。我们展示了如何通过构建与最近的实验结果匹配的抑制稳定皮质网络的新模型来重复使用现有组件。这些特征的开源大脑提高了模型的可访问性,透明度和重复性,并促进了更广泛的社区重用。

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