Hippocampo-cortical contributions to world building in freely behaving macaques

海马皮质对自由行为的猕猴世界建设的贡献

基本信息

批准号：
10447412
负责人：
KARI HOFFMAN
金额：
$ 231.67万
依托单位：
VANDERBILT UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-05-01 至 2025-04-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10447412
关键词：
Address Age Appearance Area Behavior Biological Models Brain Brain region Categories Cognition Complex Computer Models Coupling Decision Making Dissociation Electrodes Environment Episodic memory Event Future Habitats Haplorhini Hippocampus (Brain)Human Immersion Influentials Interruption Intervention Knowledge Learning Location Longevity Macaca Measures Memory Memory impairment Methodology Methods Modeling Monkeys Movement Mus Nature Neocortex Neurodegenerative Disorders Neurons Pathway interactions Performance Play Population Predisposition Primates Process Rattus Research Resolution Rodent Rodent Model Role Roter Seizures Semantics Site Structure System Systems Theory Testing Time Traumatic Brain Injury Visual adjudicate density educational atmosphere entorhinal cortex episodic memory impairment experimental study healthy aging learning strategy memory recall memory retrieval microstimulation neocortical neuronal circuitry predictive modeling prevent recruit relating to nervous system spatiotemporal statistical learning stem theories wireless

项目摘要

PROJECT SUMMARY/ABSTRACT When learning in complex, realistic, or even real worlds, we have the benefit of using different strategies adaptively. For most primate brains, adaptive means adjusting as a function of where we are, who we are with, and what things of use are in view or in reach. Learning theories like Complementary Learning Systems (CLS) originally suggested that the hippocampus and neocortical structures contributed distinct computations to represent different kinds of memory. This theory relied heavily on assumptions about the finer structure of neurons in these areas, built largely from knowledge of these structures in rats and to some extent mice. Methodological limitations have prevented measuring in primates (human or monkey) the fine circuit computations predicted by these models. This has led to assumptions that the computations are similar to those in rodents, yet rodents have very different real-world behaviors from primates. We propose to check these assumptions and extend and/or revise the theory, by recording wirelessly in macaques who learn rules about objects in an immersive, real-world enclosure. We will use high- density, multi-site recordings in and around the hippocampus to test two major aspects of memory theory in need of resolution. First, we ask if there are differences in the two main hippocampal-CA1 inputs in supporting episodic and category learning. This question derives from an untested prediction of our expanded CLS model. We will record wirelessly as macaques make decisions about the assignment of object exemplars (‘FauXna’) on displays set up in their environment. The model predicts that CA3-CA1 inputs are particularly supportive of the arbitrary mappings required for episodic memory, whereas layer III entorhinal cortex ‘direct’ inputs are more involved in integrating information across trials, affording object category learning. Using high-definition linear arrays, we can resolve CA1 dendritic field currents as well as multi-site ensemble unit activity, allowing us to test our prediction for the first time. Second, we ask if the hippocampal and connected neocortical dynamics play a role in memory retrieval as a function of either memory age or of the episodic/semantic nature of the task. We will use closed-loop stimulation to interrogate the necessity of each region during recall, and the role of coordinated activity between hippocampus and neocortex for recall, across memory age and type. From these experiments we will (1) disambiguate several competing theories of the division of labor across nodes in the memory network, (2) create the first conceptual microcircuit model of these memory systems in the primate brain, and (3) contrast with our expanded computational model.

项目摘要/摘要在复杂，现实甚至现实世界中学习时，我们会有使用不同的好处策略适应。对于大多数灵长类动物的大脑，自适应意味着根据我们的位置进行调整是，我们与谁在一起，以及在观察或触手可及的地方。学习这样的理论互补学习系统（CLS）最初建议海马和新皮层结构贡献了不同的计算以表示不同种类的内存。这个理论退休了大量关于这些区域神经元结构的假设，主要是由在大鼠和一定程度上了解这些结构的知识。方法上的局限性阻止了原始（人类或猴子）的测量这些模型预测的计算。这导致假设计算是与啮齿动物类似，但是啮齿动物与私人的现实行为截然不同。我们通过无线记录来检查这些假设并扩展和/或修改理论的建议猕猴在沉浸式现实世界中学习有关对象的规则。我们将使用高海马及其周围和周围的密度，多站点记录，以测试记忆的两个主要方面需要解决的理论。首先，我们询问支持情节的两个主要海马CA1输入中是否存在差异和类别学习。这个问题来自我们扩展的CLS模型的未经测试的预测。我们将无线录制，因为猕猴会决定对象示例的分配（'Fauxna'）在其环境中设置的显示器上。 CA3-CA1输入为特别支持情节记忆所需的任意映射，而第三层 entorhinal Cortex“直接”输入更多地参与了整个试验中的信息，对象类别学习。使用高清线性阵列，我们可以解决CA1树突状场电流以及多站点集合单元活动，使我们能够首次测试我们的预测。其次，我们询问海马和连接的新皮质动力学是否在记忆中起作用取回任务的记忆年龄或情节/语义性质的函数。我们将使用闭环刺激以询问召回过程中每个区域的必要性，以及海马和新皮层之间的协调活动，用于召回，跨记忆年龄和类型。从这些实验中，我们将（1）消除劳动分工的几种相互竞争的理论跨内存网络中的节点，（2）创建了第一个概念的微电路模型初级大脑中的记忆系统，（3）与我们扩展的计算模型形成对比。