Memory networks in the hippocampal formation

海马结构中的记忆网络

• 批准号: 6539243
• 负责人: JAMES J KNIERIM
• 金额: $ 7.67万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-01 至 2006-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6539243
• 关键词: behavioral /social science research tag; cell cell interaction; cognition; computer simulation; electrophysiology; form /pattern perception; hippocampus; laboratory rat; learning; mathematical model; memory; microelectrodes; neural information processing; neural plasticity; neurogenesis; neurons; neurophysiology; neuropsychological tests; neuropsychology; physical model; space perception; visual stimulus

DESCRIPTION: (Adapted from applicant's abstract): A major goal of cognitive neuroscience is to understand behavior and mental processes in terms of the physiological properties of neural circuits. Spatial learning is a prominent paradigm for studying these issues. Place cells of the hippocampus are thought to constitute a cognitive map of the environment. The long-term goal of this research program is to understand how place cells interact with related brain areas to generate spatially specific firing properties and how these properties underlie different forms of learning. The candidate is an Asst. Professor in the Dept. of Neurobiology & Anatomy at the University of Texas-Houston Medical School. This department has a particularly strong focus in the neurobiology of learning and memory. The candidate's current research utilizes powerful multi-electrode techniques to record simultaneously the activity of neuronal ensembles from multiple parts of the hippocampal formation. The hippocampus has been modeled as an associative network with two important properties: pattern completion, the ability to retrieve a stored pattern from degraded input, and pattern separation, the ability to make stored representations of similar inputs more dissimilar. Experimental tests will be made of prior hypotheses that pattern separation occurs in the dentate gyms and pattern completion occurs in the CA3 field. In order to understand the network interactions that generate the neuronal responses in these areas, it will be essential to develop computational models of different neuronal architectures to compare with the recording data and to make predictions for new experiments. A Research Career Award would further the candidate's career development by enabling him to devote time toward learning and applying current modeling techniques toward the experiments in this proposal. The research career development plan entails both course work and hands-on development of models to analyze the data, thus greatly enhancing the overall productivity and significance of the candidate's long-term research-program. These experiments will generate fundamental insights into the neural interactions that underlie learning and memory, as well as insights into how these mechanisms go awry in debilitating diseases such as Alzheimer's Disease.

描述：（改编自申请人的摘要）：认知的主要目标 神经科学是从以下角度理解行为和心理过程 神经回路的生理特性。空间学习是一个突出的 研究这些问题的范式。海马体的位置细胞被认为 构建环境的认知地图。本次活动的长远目标 研究计划是了解位置细胞如何与相关大脑相互作用 产生空间特定点火特性的区域以及这些特性如何产生 不同形式的学习的基础。 候选人是助理。神经生物学与解剖学系教授 德克萨斯大学休斯顿医学院。这个部门有一个 特别关注学习和记忆的神经生物学。这 候选人目前的研究利用强大的多电极技术 同时记录多个部分的神经元群的活动 海马结构。海马体被建模为一个联想区域 网络具有两个重要属性：模式完成、能够 从降级的输入中检索存储的模式，并进行模式分离， 使相似输入的存储表示更加不同的能力。 实验测试将基于先前的假设进行，即模式分离 发生在齿状体中，模式完成发生在 CA3 区域。在 为了理解生成神经元的网络相互作用 在这些领域做出反应，开发计算模型至关重要 不同的神经元结构与记录数据进行比较并 对新实验做出预测。研究职业奖将进一步促进 通过让候选人投入时间学习来促进他的职业发展 并将当前的建模技术应用于本实验中 提议。研究职业发展计划包括课程工作和 亲自开发模型来分析数据，从而大大提高 候选人的整体生产力和长期意义 研究计划。这些实验将产生对以下问题的基本见解： 学习和记忆的神经相互作用，以及对 这些机制如何在阿尔茨海默病等衰弱性疾病中出错 疾病。