Neural Mechanisms of Navigational Decision Making

导航决策的神经机制

基本信息

  • 批准号:
    10326783
  • 负责人:
  • 金额:
    $ 7.17万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-12-01 至 2022-11-30
  • 项目状态:
    已结题

项目摘要

Project Summary: A fundamental mammalian behavior is the ability to successfully navigate through our environment to reach a goal (e.g. a left turn decision towards your favorite restaurant). What seems like a simple behavior is the result of complex brain computations like the representation of space, decision-making and memory. The Hippocampus (Hipp) and the medial entorhinal cortex (MEC) are critical brain regions for memory and the representation of our environment. Hipp neurons are active in specific locations in an environment, exhibit context dependent activity, and can code for elapsed time. MEC neural activity has been mainly studied during open-field foraging behavior and shown to represent spatial and navigational variables like position, head- direction, and speed. Contrary to the Hipp, the role of MEC in more complex behavior, such as goal-directed navigation, is unknown. We hypothesize that MEC neurons are part of the circuitry critical for decision-making during goal-directed navigation. This hypothesis is tested through a series of goal-directed spatial decision making tasks while recording MEC neurons in rodents. First, we predict that MEC neurons represent behaviorally relevant task features during a cue-based spatial decision making task. We designed a task in which rats make spatial decisions (go left, go right) towards a food reward based on a visually presented cue. The spiking activity of MEC neurons is recorded and related to the animal's behavior and features of the environment (e.g., cue, rewards, animal's position). In our preliminary data we demonstrate that animals can learn the task, recorded isolated cells with spatial and task-related coding. Second, we predict that MEC population activity represents decision related information. A decision delay is introduced to test this hypothesis, in which the animal needs to remember the cue before making the spatial decision. We expect to accurately predict the upcoming decision through neural population decoding analyses of the activity during the delay period. Our preliminary results demonstrate that animals can perform this complex task. Third, we predict that Hipp/MEC dynamically interact in service of spatial decisions. We use minimally invasive multichannel probes simultaneously recording Hipp/MEC through task learning, and predict that hippocampal events (sharp-wave ripples) will reinstate neural population patterns in the MEC related to the upcoming spatial decision. Further, we predict that Hipp/MEC interactions are indicative of behavioral performance through learning. In our preliminary data we demonstrate the use of these probes, and the stability of recordings over 7 weeks. Through a combination of novel behavioral and electrophysiological techniques, this project will elucidate the role of MEC in spatial-decisions. Furthermore, understanding how MEC and Hipp support these complex cognitive behaviors would fundamentally influence models of brain function in the healthy, mentally ill, and diseased brain, potentially leading to prevention and cure.
项目概要: 哺乳动物的一个基本行为是能够成功地在我们的环境中航行, 目标(例如,左转决定前往您最喜爱的餐厅)。看似简单的行为 复杂的大脑计算,如空间的表示,决策和记忆。的 海马(Hipp)和内侧内嗅皮层(MEC)是记忆的关键脑区, 代表我们的环境。Hipp神经元在环境中的特定位置活跃,表现出 上下文相关的活动,并且可以为经过的时间进行编码。MEC神经活动主要在 开阔地觅食行为,并显示代表空间和导航变量,如位置,头部, 方向和速度。与Hipp相反,MEC在更复杂的行为中的作用,如目标导向行为, 导航未知我们假设MEC神经元是决策关键电路的一部分 在目标导向的导航中。这一假设是通过一系列目标导向的空间决策来检验的 在记录啮齿动物MEC神经元的同时完成任务。首先,我们预测MEC神经元代表 在基于线索的空间决策任务期间的行为相关任务特征。我们设计了一个任务, 这些老鼠根据视觉提示对食物奖励做出空间决策(向左走,向右走)。 记录MEC神经元的尖峰活动,并将其与动物的行为和特征相关联。 环境(例如,提示、奖励、动物的位置)。在我们的初步数据中,我们证明动物可以 学习任务,记录与空间和任务相关的编码孤立的细胞。第二,我们预测MEC 群体活动表示与决策相关的信息。引入了一个判决延迟来验证这一点 假设,其中动物需要记住的线索,然后才作出空间的决定。我们期望 通过神经群体对活动的解码分析,准确地预测即将做出的决定。 延迟期。我们的初步研究结果表明,动物可以完成这项复杂的任务。三是 预测Hipp/MEC动态交互服务的空间决策。我们使用微创的 多通道探针通过任务学习同时记录Hipp/MEC,并预测海马 事件(尖波涟漪)将恢复MEC中与即将到来的 空间决策此外,我们预测,Hipp/MEC的相互作用是行为表现的指标 通过学习。在我们的初步数据中,我们证明了这些探针的使用,以及 7周以上的录音。通过结合新颖的行为和电生理技术, 项目将阐明MEC在空间决策中的作用。此外,了解MEC和Hipp 支持这些复杂的认知行为将从根本上影响大脑功能的模型, 健康的,精神病的和有病的大脑,潜在地导致预防和治疗。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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ALEXANDER GONZALEZ其他文献

ALEXANDER GONZALEZ的其他文献

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{{ truncateString('ALEXANDER GONZALEZ', 18)}}的其他基金

Neural Mechanisms of Navigational Decision Making
导航决策的神经机制
  • 批准号:
    10049191
  • 财政年份:
    2019
  • 资助金额:
    $ 7.17万
  • 项目类别:
Neural Mechanisms of Navigational Decision Making
导航决策的神经机制
  • 批准号:
    9908249
  • 财政年份:
    2019
  • 资助金额:
    $ 7.17万
  • 项目类别:
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