Neural basis of behavioral timescale coordination

行为是在多个空间和时间尺度上组织的，范围从 亚秒运动指令超过多秒的运动计划，以长期觅食模式。 目前还不清楚大脑是如何解决这种多重交织的协调问题的 时间需求。虽然经典的神经科学实验通常会观察或参与 固定的时间尺度或视野，行为学研究长期以来一直专注于分析 自然主义行为跨越自由引发的时间尺度。在这里我们将用小说发展的深 学习姿势估计方法来研究行为和相关的单一单位生理学， 自由活动的恒河猴的觅食行为。首先，我们将建立一个时间表， 猕猴姿势行为编码认知变量，如奖励期望。第二，我们将 在决定中建立神经和行为时间尺度协调之间的联系， 内侧前额叶壁的行动轴，导致前扣带皮层， 记录自由活动的恒河猴的多区域无线电生理。第三、 利用嵌入和连通性分析，我们将揭示区域间和区域内的机制， 时间尺度协调，以了解大脑如何平衡时间尺度的需求。

Behavior is organized across multiple spatial and temporal scales, ranging from sub-second motor commands over multi-second movement plans to long term foraging patterns. Currently it is unclear how the brain solves this coordination of multiple intertwined temporal demands. While classical neuroscience experiments typically look at or engage a fixed temporal scale or horizon, ethological studies have long focused on the analysis of naturalistic behavior across freely elicited temporal scales. Here we will use novel developed deep learning pose estimation approaches to study the behavior and associated single unit physiology of foraging behavior in freely moving rhesus macaques. First we will establish that timescales of macaque pose behavior encode cognitive variables such as reward expectation. Second we will establish the link between neural and behavioral timescale coordinating in the decision to action axis of the medial prefrontal wall leading to the anterior cingulate cortex by recording multi-region wireless electrophysiology in freely moving rhesus macaques. Third, using embedding and connectivity analysis we will uncover the mechanisms for inter and intra areal timescale coordination to understand how the brain balances temporal scale demands.