Progressively shifting patterns of co-modulation among premotor cortex neurons carry dynamically similar signals during action execution and observation

Many neurons in the macaque premotor cortex show firing rate modulation whether the subject performs an action or observes another individual performing a similar action. Although such “mirror neurons” have been thought to have highly congruent discharge during execution and observation, many if not most actually show non-congruent activity. Studies of neuronal populations active during both execution and observation have shown that the most prevalent patterns of co-modulation—captured as neural trajectories—pass through subspaces which are shared in part, but in part are visited exclusively during either execution or observation. These studies focused on reaching movements for which low-dimensional neural trajectories exhibit comparatively simple dynamical motifs. But the neural dynamics of hand movements are more complex. We developed a novel approach to examine prevalent patterns of co-modulation during execution and observation of a task that involved reaching, grasping, and manipul..., , # Progressively shifting patterns of co-modulation among premotor cortex neurons carry dynamically similar signals during action execution and observation Dataset DOI: [10.5061/dryad.cvdncjtfq](10.5061/dryad.cvdncjtfq) ## Description of the data and file structure These source data files provide the processed data underlying Figure 5 - figure supplement 1 and Figure 8, panels C and D. ### Files and variables #### File: Figure5\_FigureSupplement1\_CumulativeSeparability.m **Description:** This MATLAB script contains the processed source data for Figure 5 - figure supplement 1, which can be loaded to a cell array in MATLAB by running the script. Numbers are arranged in 4x4 arrays that correspond to the 4x4 color matrices of the figure. The values in Ex_self_sepa3d{9} and Obs_self_sepa3d{9} are from monkey T session 3, 'T_20220603', and are displayed as color matrices in A and B of ths figure. Averaging across all 9 sessions for Ex or Obs gives the values displayed as color matrice...,猕猴运动前皮层（premotor cortex）内的多数神经元，无论受试个体自身执行动作，还是观察其他个体完成相似动作时，其放电频率（firing rate）均会出现调制现象。此前这类"镜像神经元（mirror neurons）"被认为在动作执行与观察过程中的放电活动高度一致，但实际上多数（即便并非全部）镜像神经元的活动实则并不一致。针对动作执行与观察阶段均活跃的神经元群体的研究显示，最具普遍性的共调制（co-modulation）模式——以神经轨迹（neural trajectories）表征——会穿过部分共享、部分仅在动作执行或观察阶段单独出现的子空间。此类研究多聚焦于伸手动作，其低维神经轨迹展现出相对简洁的动力学基序（dynamical motifs）。然而手部动作的神经动力学则更为复杂。我们开发了一种全新方法，用于探究在执行与观察包含伸手、抓取与手动操作等任务时，运动前皮层神经元共调制的普遍模式。 # 运动前皮层神经元间逐步变化的共调制模式在动作执行与观察阶段传递动态相似的信号 数据集DOI: [10.5061/dryad.cvdncjtfq](10.5061/dryad.cvdncjtfq) ## 数据与文件结构说明 本数据集的源文件提供了支撑图5补充图1以及图8的C、D面板的处理后数据。 ### 文件与变量 #### 文件：Figure5_FigureSupplement1_CumulativeSeparability.m **描述：** 此MATLAB脚本包含了图5补充图1的处理后源数据，可通过运行该脚本将数据加载至MATLAB的元胞数组（cell array）中。数据以4×4数组形式排布，与该图中的4×4颜色矩阵相对应。Ex_self_sepa3d{9}与Obs_self_sepa3d{9}中的数值来自猴T的第3次会话（会话标识为'T_20220603'），在该图的A、B面板中以颜色矩阵形式展示。对执行（Ex）或观察（Obs）条件下的全部9次会话取平均后，即可得到该图中以颜色矩阵展示的数值……