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RTHybrid: A Standardized and Open-Source Real-Time Software Model Library for Experimental Neuroscience

机译:RTHybrid:用于实验神经科学的标准化和开源实时软件模型库

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摘要

Closed-loop technologies provide novel ways of online observation, control and bidirectional interaction with the nervous system, which help to study complex non-linear and partially observable neural dynamics. These protocols are often difficult to implement due to the temporal precision required when interacting with biological components, which in many cases can only be achieved using real-time technology. In this paper we introduce RTHybrid (), a free and open-source software that includes a neuron and synapse model library to build hybrid circuits with living neurons in a wide variety of experimental contexts. In an effort to encourage the standardization of real-time software technology in neuroscience research, we compared different open-source real-time operating system patches, RTAI, Xenomai 3 and Preempt-RT, according to their performance and usability. RTHybrid has been developed to run over Linux operating systems supporting both Xenomai 3 and Preempt-RT real-time patches, and thus allowing an easy implementation in any laboratory. We report a set of validation tests and latency benchmarks for the construction of hybrid circuits using this library. With this work we want to promote the dissemination of standardized, user-friendly and open-source software tools developed for open- and closed-loop experimental neuroscience.
机译:闭环技术提供了在线观察,控制和与神经系统双向交互的新颖方法,有助于研究复杂的非线性和部分可观察的神经动力学。由于与生物组件进行交互时所需的时间精度,通常很难实现这些协议,而在许多情况下,只能使用实时技术才能实现。在本文中,我们介绍了RTHybrid(),这是一个免费的开放源代码软件,其中包括神经元和突触模型库,可在各种实验环境中与活体神经元建立混合电路。为了鼓励神经科学研究中的实时软件技术的标准化,我们根据它们的性能和可用性比较了不同的开源实时操作系统补丁,RTAI,Xenomai 3和Preempt-RT。 RTHybrid已开发为可在支持Xenomai 3和Preempt-RT实时补丁的Linux操作系统上运行,因此可在任何实验室中轻松实施。我们报告了使用此库构建混合电路的一组验证测试和延迟基准。通过这项工作,我们希望促进为开环和闭环实验神经科学开发的标准化,用户友好型和开源软件工具的传播。

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