The Emergence, Persistence and Plasticity of Neural Codes for Self-Selected Goal-Directed Navigation

自选目标导向导航神经编码的出现、持久性和可塑性

• 批准号: 10053126
• 负责人: Michael Moshe Yartsev
• 金额: $ 144.08万
• 依托单位: UNIVERSITY OF CALIFORNIA BERKELEY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10053126
• 关键词: Address; Animals; Behavior; Behavior Therapy; Behavioral; Behavioral Paradigm; Biological Models; Calcium; Chiroptera; Code; Complex; Development; Electrophysiology (science); Environment; Evaluation; Evolution; Face; Flying body movement; Food; Fruit; Goals; Hippocampal Formation; Hippocampus (Brain); Human; Image; Individual; Intervention; Laboratories; Life; Location; Maintenance; Mammals; Measurement; Measures; Mediation; Methodology; Methods; Modeling; Modification; Monitor; Neuronal Plasticity; Neurons; Pattern; Play; Population; Preparation; Research; Resolution; Role; Route; Stereotyping; Structure; Testing; Time; Training; Update; Wireless Technology; extracellular; imaging modality; nervous system disorder; neurophysiology; neurotechnology; novel; open source; optogenetics; relating to nervous system; scale up; tool; trait; way finding

PROJECT SUMMARY Goal-directed navigation often occurs in complex, large environments where the same goal can be reached from different starting point and through different routes which are often self-selected. The hippocampus is believed to play a central role in navigation yet it remains poorly understood how it supports the planning and execution of naturally emerging navigation patterns during goal-directed behaviors. The Egyptian fruit bat is a powerful model for bridging this gap due to specialization for spatial navigation and in particular, its natural desire to converge onto self-selected, stereotyped and highly structured navigation patterns. Here, we leverage the bat natural behavior and significantly extend the arsenal of tools and approaches to study how the hippocampus contributes to the planning, emergence and sustainment the goal-directed, structured navigation behavior. To do so, we develop novel fully automated environments aimed at engaging the bats in self-paced and self-selected, natural navigation under closely monitored laboratory conditions. In doing so, we find that the bats readily engage in goal directed foraging behavior which resembles that observed in the natural setting. To study the neural dynamics, computations and involvement of the hippocampus in this behavior we integrate a wide range of wireless neuro-technologies, many of which are entirely novel for the bat model system. These include, wireless electrophysiology, wireless cellular resolution calcium imaging and wireless optogenetics in freely flying bats. Our preliminary results provide a detailed account of the bat's navigational strategies during goal-directed behavior and are beginning to reveal the neural computations in the hippocampal formation that could facilitate this function. These includes functionally discrete set of neurons that are participating during discrete stages of the foraging behavior including, planning, execution and evaluation of goal-directed navigation as well as neuronal sequences that are specific to distinct navigational routes. Combined, we marry the development of the controlled, yet ethologically-relevant, behavioral setup with a wide range of cutting- edge neurophysiological methods to thoroughly examine the role and computations in the bat hippocampus that can subserve that bat's natural ability for structured goal-directed navigation behavior. In doing so, this research aims to provide a new model the hippocampal neural computations that can support self-selected and complex goal-directed navigation.

项目摘要 目标导向导航通常发生在复杂的、大的环境中，在这些环境中可以达到相同的目标 从不同的起点，通过不同的路线，往往是自我选择。海马体是 被认为在导航中发挥着核心作用，但人们对它如何支持规划和 在目标导向的行为中执行自然出现的导航模式。埃及果蝠是 由于空间导航的专业化，特别是其自然的， 希望收敛到自我选择，刻板和高度结构化的导航模式。在这里，我们利用 蝙蝠的自然行为，并显着扩大武器库的工具和方法，以研究如何 海马体有助于规划、出现和维持目标导向的结构化导航 行为为了做到这一点，我们开发了新颖的全自动环境，旨在让蝙蝠参与自主节奏的活动。 以及在严密监控的实验室条件下自主选择的自然导航。在这样做时，我们发现， 蝙蝠很容易从事目标导向的觅食行为，这类似于在自然环境中观察到的行为。 为了研究海马体的神经动力学、计算和参与，我们整合了 广泛的无线神经技术，其中许多对于蝙蝠模型系统来说是全新的。这些 包括无线电生理学、无线细胞分辨率钙成像和无线光遗传学， 自由飞翔的蝙蝠我们的初步研究结果提供了蝙蝠的导航策略， 目标导向行为，并开始揭示海马结构中的神经计算， 可以促进这一功能。这些包括功能离散的神经元集，它们参与 觅食行为的离散阶段，包括计划，执行和评估目标导向 导航以及特定于不同导航路线的神经元序列。结合起来，我们结婚 发展的控制，但行为相关的，行为设置与广泛的切割- 边缘神经生理学方法，彻底检查蝙蝠海马体的作用和计算 这有助于蝙蝠进行有组织目标导向导航行为的自然能力。在这样做时， 研究旨在提供一种新的模型，海马神经计算，可以支持自我选择， 复杂的目标导向导航。