Neural basis of behavioral timescale coordination

行为时间尺度协调的神经基础

• 批准号: 10332070
• 负责人: Jan Zimmermann
• 金额: $ 69.05万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-12-15 至 2026-10-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10332070
• 关键词: Animal Behavior; Animals; Anterior; Area; Behavior; Behavioral; Brain; Characteristics; Cognition; Cognitive; Communication; Conflict (Psychology); Coupling; Data; Decision Making; Electrophysiology (science); Environment; Equilibrium; Event; Exhibits; Experimental Designs; Grain; Head; Human; Joints; Label; Link; Macaca; Macaca mulatta; Medial; Mental disorders; Monkeys; Motor; Movement; Neurons; Neurosciences; Pattern; Physiology; Population; Prefrontal Cortex; Preparation; Probability; Process; Proxy; Reaction Time; Rewards; Risk; Signal Transduction; Structure; System; Techniques; Testing; Time; Training; Work; base; behavioral study; cingulate cortex; common symptom; deep learning; expectation; experimental study; flexibility; machine vision; neurobehavioral; neurotransmission; novel; relating to nervous system; stem; tool; wireless

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.

行为是在多个空间和时间尺度上组织的 次秒电动机命令对多秒移动计划进行长期觅食模式。 目前尚不清楚大脑如何解决多个相互交织的协调 暂时的需求。而经典的神经科学实验通常会查看或参与 固定的时间尺度或地平线，伦理学研究长期集中在分析上 自由地引起时间尺度的自然主义行为。在这里，我们将使用《开发的小说》深处 学习姿势估计方法，以研究行为和相关的单位生理 自由移动的恒河猕猴中的觅食行为。首先，我们将确定 猕猴的姿势行为编码认知变量，例如奖励期望。第二我们会 在决定中建立神经和行为时间尺度协调之间的联系 内侧前额叶壁的动作轴，导致前扣带回皮质 在自由移动的恒河猕猴中记录多区域无线电生理学。第三， 使用嵌入和连通性分析，我们将揭示间和区域内的机制 时间尺度的协调以了解大脑如何平衡时间尺度的需求。