Dynamical Models in Neuroscience From a Closed-Loop Control Perspective

IF 17.2 1区 工程技术 Q1 ENGINEERING, BIOMEDICAL IEEE Reviews in Biomedical Engineering Pub Date : 2022-06-08 DOI:10.1109/RBME.2022.3180559
Sebastián Martínez;Demián García-Violini;Mariano Belluscio;Joaquín Piriz;Ricardo Sánchez-Peña
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引用次数: 2

Abstract

Modifying neural activity is a substantial goal in neuroscience that facilitates the understanding of brain functions and the development of medical therapies. Neurobiological models play an essential role, contributing to the understanding of the underlying brain dynamics. In this context, control systems represent a fundamental tool to provide a correct articulation between model stimulus (system inputs) and outcomes (system outputs). However, throughout the literature there is a lack of discussions on neurobiological models, from the formal control perspective. In general, existing control proposals applied to this family of systems, are developed empirically, without theoretical and rigorous framework. Thus, the existing control solutions, present clear and significant limitations. The focus of this work is to survey dynamical neurobiological models that could serve for closed-loop control schemes or for simulation analysis. Consequently, this paper provides a comprehensive guide to discuss and analyze control-oriented neurobiological models. It also provides a potential framework to adequately tackle control problems that could modify the behavior of single neurons or networks. Thus, this study constitutes a key element in the upcoming discussions and studies regarding control methodologies applied to neurobiological systems, to extend the present research and understanding horizon for this field.
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从闭环控制的角度看神经科学中的动力学模型
改变神经活动是神经科学的一个重要目标,有助于理解大脑功能和开发医学疗法。神经生物学模型起着至关重要的作用,有助于理解潜在的大脑动力学。在这种情况下,控制系统代表了在模型刺激(系统输入)和结果(系统输出)之间提供正确衔接的基本工具。然而,在整个文献中,缺乏从形式控制的角度对神经生物学模型的讨论。一般来说,应用于这一系列系统的现有控制方案是根据经验制定的,没有理论和严格的框架。因此,现有的控制解决方案存在明显和重大的局限性。这项工作的重点是调查动态神经生物学模型,这些模型可以用于闭环控制方案或模拟分析。因此,本文为讨论和分析面向控制的神经生物学模型提供了全面的指导。它还提供了一个潜在的框架来充分解决可能改变单个神经元或网络行为的控制问题。因此,这项研究构成了即将进行的关于应用于神经生物学系统的控制方法的讨论和研究的关键要素,以扩展该领域目前的研究和理解范围。
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来源期刊
IEEE Reviews in Biomedical Engineering
IEEE Reviews in Biomedical Engineering Engineering-Biomedical Engineering
CiteScore
31.70
自引率
0.60%
发文量
93
期刊介绍: IEEE Reviews in Biomedical Engineering (RBME) serves as a platform to review the state-of-the-art and trends in the interdisciplinary field of biomedical engineering, which encompasses engineering, life sciences, and medicine. The journal aims to consolidate research and reviews for members of all IEEE societies interested in biomedical engineering. Recognizing the demand for comprehensive reviews among authors of various IEEE journals, RBME addresses this need by receiving, reviewing, and publishing scholarly works under one umbrella. It covers a broad spectrum, from historical to modern developments in biomedical engineering and the integration of technologies from various IEEE societies into the life sciences and medicine.
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