System identification of neural mechanisms from trial-by-trial motor behaviour: modelling of learning, impairment and recovery
System identification of neural mechanisms from trial-by-trial motor behaviour: modelling of learning, impairment and recovery
复制标题
从逐次试验运动行为中系统识别神经机制：学习、损伤和恢复建模
DOI：
10.1080/01691864.2016.1266966
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发表时间：
2017
影响因子：
2
通讯作者：
Yuki Ueyama
中科院分区：
文献类型：
--
作者：
Kazumasa Ariyasu;Mitsuhiro Terakawa;Yuki Ueyama
系统辨识是一种工程技术，用于根据观测数据建立动态系统的数学模型。在神经科学研究中，系统识别已被用于调整机器人设备进行测量和施加扰动。这些技术已被证明是有用的工具，以调查运动学习过程和运动功能障碍的大脑机制。本文回顾了系统识别在与特定神经机制中断相关的运动行为数据中的应用。这种系统识别技术可以揭示适应和概括功能的神经机制的电机任务，以适应实验数据测量的机器人设备在一个离散的状态空间模型。在比较神经残疾者和健康对照受试者之间的构建模型时，系统识别可用于识别受损的能力。此外，最近的一项研究表明，这种离散状态空间模型可以预测中风后运动功能的恢复。因此，我们建议，机器人设备和系统识别之间的婚姻将包括一种新的方法，临床评估和援助的设计患者康复方案。
System identification is an engineering technique used to build mathematical models of dynamic systems from observed data. In neuroscience research, system identification has been used to adapt robotic devices for measurements and to apply perturbations. These techniques have been shown to be useful tools to investigate brain mechanisms of motor learning processes and motor dysfunctions. This paper reviews the application of system identification to motor behavioural data pertaining to the interruption of specific neural mechanisms. This system identification technique could reveal adaptation and generalisation functions in neural mechanisms for motor tasks to fit experimental data measured by the robotic devices in a discrete state-space model. When comparing constructed models between persons with neurological disabilities and healthy control subjects, system identification could be used to identify impaired abilities. Furthermore, a recent study indicated that such a discrete state-space model may predict recovery of motor function after stroke. Therefore, we suggest that the marriage between robotic devices and system identification will comprise a novel approach to clinical assessment and aid in the design of patient rehabilitation protocols.
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影响因子：
2.6
作者：
C. Winstein;A. Merians;K. Sullivan
通讯作者：
C. Winstein;A. Merians;K. Sullivan
DOI：
10.1016/s0003-9993(96)90262-2
发表时间：
1996-08-01
影响因子：
4.3
作者：
Hanlon, RE
通讯作者：
Hanlon, RE
DOI：
--
发表时间：
--
期刊：
--
影响因子：
--
作者：
J. Krakauer;S. Prabhakaran;E. Zarahn;C. Riley;Allison E Speizer;J. Chong;R. Lazar;R. Marshall
通讯作者：
J. Krakauer;S. Prabhakaran;E. Zarahn;C. Riley;Allison E Speizer;J. Chong;R. Lazar;R. Marshall
影响因子：
2.5
作者：
Zarahn, Eric;Weston, Gregory D.;Krakauer, John W.
通讯作者：
Krakauer, John W.
影响因子：
2.5
作者：
Nudo, RJ;Milliken, GW
通讯作者：
Milliken, GW