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Emerging ideas and tools to study the emergent properties of the cortical neural circuits for voluntary motor control in non-human primates

机译:研究非人类灵长类动物主动运动控制的皮质神经回路的新兴特性的新兴思想和工具

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摘要

For years, neurophysiological studies of the cerebral cortical mechanisms of voluntary motor control were limited to single-electrode recordings of the activity of one or a few neurons at a time. This approach was supported by the widely accepted belief that single neurons were the fundamental computational units of the brain (the “neuron doctrine”). Experiments were guided by motor-control models that proposed that the motor system attempted to plan and control specific parameters of a desired action, such as the direction, speed or causal forces of a reaching movement in specific coordinate frameworks, and that assumed that the controlled parameters would be expressed in the task-related activity of single neurons. The advent of chronically implanted multi-electrode arrays about 20 years ago permitted the simultaneous recording of the activity of many neurons. This greatly enhanced the ability to study neural control mechanisms at the population level. It has also shifted the focus of the analysis of neural activity from quantifying single-neuron correlates with different movement parameters to probing the structure of multi-neuron activity patterns to identify the emergent computational properties of cortical neural circuits. In particular, recent advances in “dimension reduction” algorithms have attempted to identify specific covariance patterns in multi-neuron activity which are presumed to reflect the underlying computational processes by which neural circuits convert the intention to perform a particular movement into the required causal descending motor commands. These analyses have led to many new perspectives and insights on how cortical motor circuits covertly plan and prepare to initiate a movement without causing muscle contractions, transition from preparation to overt execution of the desired movement, generate muscle-centered motor output commands, and learn new motor skills. Progress is also being made to import optical-imaging and optogenetic toolboxes from rodents to non-human primates to overcome some technical limitations of multi-electrode recording technology.
机译:多年来,对自愿运动控制的大脑皮层机制的神经生理学研究仅限于一次记录一个或几个神经元活动的单电极记录。这种方法得到了广泛接受的信念的支持,即单个神经元是大脑的基本计算单位(“神经元学说”)。在电机控制模型的指导下进行了实验,该模型建议电机系统尝试计划和控制所需动作的特定参数,例如在特定坐标系中达到运动的方向,速度或因果力,并假定受控参数将在单个神经元的任务相关活动中表达。大约20年前,长期植入的多电极阵列的出现允许同时记录许多神经元的活动。这极大地增强了在人群水平上研究神经控制机制的能力。它还将神经活动分析的重点从量化与不同运动参数相关的单个神经元关联转移到探索多神经元活动模式的结构,以识别皮质神经回路的新兴计算特性。特别是,“降维”算法的最新进展已尝试识别多神经元活动中的特定协方差模式,这些模式被认为反映了潜在的计算过程,通过该过程神经电路将执行特定运动的意图转换为所需的因果下降运动命令。这些分析导致了许多新的观点和见解,涉及皮质运动回路如何秘密地计划和准备发起运动而不会引起肌肉收缩,从准备运动过渡到公开执行期望的运动,生成以肌肉为中心的运动输出命令以及学习新知识。运动技能。从啮齿动物到非人类灵长类动物的光学成像和光遗传学工具箱的进口也正在取得进展,以克服多电极记录技术的某些技术局限性。

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