Cortical Processing of Movement Perception

描述（由申请人提供）：视觉引导运动的产生发生在由许多互连的皮层区域组成的密集网络中。为了研究这一过程，我们开发了一个基于运动错觉的任务，该任务将绘画的可视化与用于产生它的运动分离。多电极记录技术已经得到证明，并将用于记录网络顶叶-额叶部分三个节点中神经元群体的单单位活动。许多高级分析将用于识别与该行为任务的不同方面相关的活动的细胞组。传统的人口矢量算法将被应用于大人口的细胞和一个新的，更敏感的粒子滤波器将被用于小群体。这两种群体算法都将用于提取手臂轨迹的神经表示（绘制形状）。有了这些神经轨迹和错觉任务，就有可能确定种群是否与可视化或执行的运动相关，我们已经表明（在初步数据中）可以对至少两个待研究的节点进行确定。这些技术将允许我们测量相对于运动的表示的时间，从而确定哪些组充当控制过程的前馈和反馈元件。这将有助于构建可视化行为中使用的整个过程的示意图。

DESCRIPTION (provided by applicant): The generation of visually guided movement takes place in a dense network comprised of many interconnected cortical regions. To study this process, we have developed a task based on a motor illusion that dissociates visualization of drawing from the movement used to produce it. Multielectrode recording techniques have been proven and will be used to record single-unit activity from populations of neurons in three nodes of the parietal-frontal portion of the network. A number of advanced analyses will be used to identify groups of cells with activity related to different aspects of this behavioral task. The conventional population vector algorithm will be applied to large populations of cells and a new, more sensitive; particle filter will be used on small groups. Both of these population algorithms wilt be used to extract neural representations of the arm trajectory (drawn shape). With these neural trajectories and the illusion task, it will be possible to determine whether a population is related to the visualized or executed movement, a determination that we have shown (in preliminary data) can be made for at least two of the nodes to be studied. These techniques will allow us to measure timing of the representations relative to the movement and thereby ascertain which groups are acting as feed forward and feedback elements of the control process. This will help build a schematic of the overall process used in visuomotor behavior.