Modeling microcircuits of realistic hippocampal neurons

模拟真实海马神经元的微电路

• 批准号: 6941623
• 负责人: NELSON P. SPRUSTON
• 金额: $ 20.84万
• 依托单位: NORTHWESTERN UNIVERSITY AT CHICAGO
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-30 至 2007-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6941623
• 关键词: action potentials; cell morphology; computational neuroscience; computer simulation; dendrites; hippocampus; interneurons; laboratory rat; model design /development; neural information processing; neurons; neurophysiology; tissue /cell preparation; training

DESCRIPTION (provided by applicant): This project is a collaborative research program between experimental a cellular neurophysiologist and applied mathematicians. The central aim of the project is to develop detailed computational models of microcircuits composed principal neurons and interneurons in the CA1 region hippocampus. In particular, these computational models will: 1) Be based on the latest data available from patch-clamp experiments dealing with ionic conductances, calcium and two-photon imaging, and cell morphology. 2) Use ionic channel models specifically designed to accurately reproduce the experimentally determined behavior. 3) Use full-cell morphologies; in particular, the same individual cells from which electrophysiology data have been taken will be digitized for the computational studies. 4) Develop new adaptive computational methods that can be used to speed up the computational simulations. A long-term goal of the project is to develop sufficiently accurate models of excitatory and inhibitory cell types in the hippocampus so that realistic simulations of small networks present in the hippocampus can be performed. These computational simulations are intended to be a tool to guide the development of new patch-clamp experiments that further explore the functional behavior of the hippocampal region. It is anticipated that the resulting studies will ultimately foster an improved understanding of how the hippocampal network stores and retrieves memories. Specific benefits of the proposed research and training objectives are: 1) New models will be developed of morphologically reconstructed neurons from which electrophysiological measurements have been obtained using multiple patch-clamp electrodes and/or calcium imaging. 2) New ionic conductance models will be constructed to accurately reproduce the experimental results. 3) New computational methods will be developed to speed up the compartmental model simulations. 4) New models will be developed to explore network interactions between excitatory and inhibitory neurons within the hippocampus. 5) Graduate students and postdoctoral researchers, recruited from the ranks of applied mathematicians interested in biological applications, will be trained in computational neuroscience.

项目描述（申请人提供）：本项目为实验细胞神经生理学家与应用数学家的合作研究项目。该项目的中心目标是开发由海马CA1区主要神经元和中间神经元组成的微电路的详细计算模型。特别是，这些计算模型将：1)基于膜片钳实验的最新数据，这些实验涉及离子电导率、钙和双光子成像以及细胞形态。2)使用专门设计的离子通道模型来精确重现实验确定的行为。3)采用全细胞形态；特别地，从电生理数据中提取的相同的单个细胞将被数字化以用于计算研究。4)开发新的自适应计算方法，可用于加快计算模拟。