A major challenge in systems neuroscience is to understand how the dynamics of neural circuits give rise to behaviour. Analysis of complex dynamical systems is also at the heart of control engineering, where it is central to the design of robust control strategies. Although a rich engineering literature has grown over decades to facilitate the analysis of such systems, little of it has percolated into neuroscience so far. Here, we give a brief introduction to a number of core control-theoretic concepts that provide useful perspectives on neural circuit dynamics. We introduce important mathematical tools related to these concepts, and establish connections to neural circuit analysis, focusing on a number of themes that have arisen from the modern 'state-space' view on neural population dynamics.

中文翻译：

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神经科学失控：关于神经回路动力学的控制理论观点。

系统神经科学的主要挑战是了解神经回路的动力学如何引起行为。复杂动态系统的分析也是控制工程的核心，在此方面，鲁棒控制策略的设计至关重要。尽管数十年来为促进此类系统的分析而积累了丰富的工程文献，但迄今为止，几乎没有文献渗透到神经科学领域。在这里，我们简要介绍了许多核心控制理论概念，这些概念提供了有关神经回路动力学的有用观点。我们介绍了与这些概念相关的重要数学工具，并建立了与神经回路分析的联系，重点关注了现代关于神经种群动力学的“状态空间”观点提出的许多主题。