Parietal cortex networks for sensorimotor processing during navigation

顶叶皮层网络用于导航过程中的感觉运动处理

• 批准号: 10395503
• 负责人: Christopher D Harvey
• 金额: $ 52.68万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10395503
• 关键词: Address; Alzheimer' s Disease; Animals; Area; Behavior; Behavioral; Behavioral Model; Brain; Calcium; Cognitive; Communication; Communities; Computing Methodologies; Cues; Decision Making; Disease; Dorsal; Goals; Grant; Health; Image; Individual; Label; Learning; Link; Location; Mediating; Methods; Modeling; Motor; Mus; Neurons; Output; Parietal; Parietal Lobe; Pattern; Performance; Phase; Population; Process; Property; Recurrence; Resolution; Rewards; Role; Sensory; Signal Transduction; Spatial Distribution; Testing; Time; Update; Visual; Visual Cortex; Work; base; computerized tools; experimental study; flexibility; imaging approach; insight; interest; nervous system disorder; neural circuit; neuromechanism; new technology; optogenetics; task analysis; tool; virtual reality; virtual reality environment; way finding

Project Summary Decision-making is an essential component of spatial navigation as animals convert environmental cues and internal signals into locomotor actions to reach goal locations. In many experimental paradigms, the neural mechanisms for navigation and decision-making have been studied separately, leaving open important questions about how these processes are linked. Findings from our previous grant period, along with recent work in the field, indicate that the dorsal, posterior cortex – visual, parietal, and retrosplenial cortices – participate in key computations for navigation-based decision-making. Here we propose to test working models of how these areas and their interactions contribute during navigation-based decision tasks. We will develop a range of new tools including: behavioral tasks and analyses for navigation-based decision-making in virtual reality environments, calcium imaging approaches to record activity in neuronal populations in multiple areas at cellular resolution over weeks, and computational approaches to understand the encoding of behavioral and task features in single neurons and large populations. In a first aim, we will test hypotheses about how visual, parietal, and retrosplenial cortices make distinct contributions to navigation-based decision tasks. We will use a combination of behavioral modeling, optogenetic perturbations, and calcium imaging. In a second aim, we will analyze the information transmitted between visual, parietal, and retrosplenial cortices on a moment-by-moment basis during navigation decisions. We will image activity in multiple cortical regions simultaneously and analyze information flow in conjunction with retrograde labeling approaches. In a third aim, we will address how these representations and inter-area interactions develop during learning of navigation- and decision-related associations. We will use methods to track the activity of the same neurons, in multiple cortical regions, daily over weeks as mice learn phases of navigation-based decision tasks. Together, this work will advance our understanding of how cortical regions and their interactions mediate the planning and choice computations essential for effective decision- making during spatial navigation.

项目摘要 决策是空间导航的重要组成部分，因为动物转换环境线索和 内部信号进入运动动作以达到目标位置。在许多实验范式中，中立 导航和决策机制已分别研究，留下了开放的重要问题 关于这些过程是如何链接的。我们以前的赠款期的调查结果以及最近的工作 田地，表明背侧皮层 - 视觉，顶层和肾上腺皮层 - 参与密钥 基于导航决策的计算。在这里，我们建议测试这些领域的工作模型 他们的互动在基于导航的决策任务中贡献。我们将开发一系列新工具 包括：在虚拟现实环境中基于导航决策的行为任务和分析， 钙成像方法记录在蜂窝分辨率以上的多个区域中神经元种群中活性的方法 几周和计算方法，以了解单个行为和任务特征的编码 神经元和大种群。在第一个目的中，我们将测试有关视觉，顶叶和肾后的假设 皮层为基于导航的决策任务做出了不同的贡献。我们将结合行为的组合 建模，光遗传扰动和钙成像。在第二个目标中，我们将分析信息 在导航期间逐时传播视觉，顶叶和肾后皮质 决定。我们将简单地在多个皮质区域中进行图像活动，并分析信息流 与逆行标签方法的联系。在第三个目标中，我们将解决这些表示和如何 在学习导航和与决策有关的关联过程中，区域间相互作用会发展。我们将使用 随着老鼠的学习 基于导航的决策任务的阶段。这项工作将共同提高我们对皮质的理解 区域及其互动调解了有效决策必不可少的计划和选择计算 - 在空间导航期间进行。