神经机器人技术在神经退行性疾病研究中的应用前景

Silvia Tolu, Beck Strohmer, Omar Zahra
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引用次数: 1

摘要

神经机器人是神经科学和机器人学的结合。它致力于通过中枢神经系统的计算模型的体现,在机器人中再现生物样行为的研究。这篇观点文章讨论了当前实施工具的趋势,以应对神经退行性疾病早期诊断的紧迫挑战,以及神经机器人方法如何提供帮助。最近,这一领域的进展已经允许测试一些与脑部疾病相关的神经科学假设,但由于发达的大脑模型和肌肉骨骼系统缺乏生物学上的合理性,限制了对导致运动和认知任务缺陷的潜在大脑机制的理解。从这个角度提出了增强健康和受损大脑中观察到的自然行为的可重复性的关键方面和方法。从长远来看,研究人员的目标不仅仅是寻找治疗方法,而是研究如何利用神经机器人减少对人类的测试,并找到疾病的根本原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perspective on investigation of neurodegenerative diseases with neurorobotics approaches
Neurorobotics has emerged from the alliance between neuroscience and robotics. It pursues the investigation of reproducing living organism-like behaviors in robots by means of the embodiment of computational models of the central nervous system. This perspective article discusses the current trend of implementing tools for the pressing challenge of early-diagnosis of neurodegenerative diseases and how neurorobotics approaches can help. Recently, advances in this field have allowed the testing of some neuroscientific hypotheses related to brain diseases, but the lack of biological plausibility of developed brain models and musculoskeletal systems has limited the understanding of the underlying brain mechanisms that lead to deficits in motor and cognitive tasks. Key aspects and methods to enhance the reproducibility of natural behaviors observed in healthy and impaired brains are proposed in this perspective. In the long term, the goal is to move beyond finding therapies and look into how researchers can use neurorobotics to reduce testing on humans as well as find root causes for disease.
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