Center for Excellence in Brain Science and Intelligent Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, 200031, China.
Shanghai Center for Brain and Brain-inspired Intelligence Technology, Shanghai, 200031, China.
Neurosci Bull. 2022 Jul;38(7):796-808. doi: 10.1007/s12264-022-00832-x. Epub 2022 Mar 17.
In contrast to traditional representational perspectives in which the motor cortex is involved in motor control via neuronal preference for kinetics and kinematics, a dynamical system perspective emerging in the last decade views the motor cortex as a dynamical machine that generates motor commands by autonomous temporal evolution. In this review, we first look back at the history of the representational and dynamical perspectives and discuss their explanatory power and controversy from both empirical and computational points of view. Here, we aim to reconcile the above perspectives, and evaluate their theoretical impact, future direction, and potential applications in brain-machine interfaces.
与传统的表现性观点相反，后者认为运动皮层通过对动力学和运动学的神经元偏好来参与运动控制，过去十年中出现的动态系统观点则将运动皮层视为一种动态机器，通过自主的时间演化来产生运动指令。在这篇综述中，我们首先回顾了表现性和动态性观点的历史，并从经验和计算的角度讨论了它们的解释力和争议。在这里，我们旨在调和上述观点，并评估它们在脑机接口中的理论影响、未来方向和潜在应用。
