课题基金 / 基金详情

CRCNS data sharing: Physiological and anatomical properties of hippocampal neurons and connections in vivo

CRCNS data sharing: Physiological and anatomical properties of hippocampal neurons and connections in vivo
CRCNS 数据共享:海马神经元的生理和解剖特性及其体内连接
批准号:
0747864
负责人:
Giorgio Ascoli
金额:
$4.2万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-09-15 至 2008-08-31

项目摘要

项目成果

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中文摘要
翻译
提案编号:0747864 PI:Giorgio A.阿斯科利摘要:该奖项支持计算神经科学数据的准备和共享,作为旨在催化计算神经科学及相关领域快速创新进展的探索性活动的一部分。 本项目将分享的数据是来自大鼠海马的生理和解剖数据,包括(1)在开放领域觅食期间海马CA1神经元的记录,(2)来自CA1锥体细胞的细胞内和细胞外的同时体内记录以及这些神经元的组织学身份,(3)海马结构细胞连接的定量信息,以及(4)来自体内制备物的轴突重建数据。 解剖学和生理学数据将被交叉注释,以便于浏览和整合,并以与广泛使用的模拟器兼容的形式提供。 预计这些数据将有助于开发解剖学和生理学上真实的神经网络,并了解神经元群体的涌现行为,特别是记忆机制。
英文摘要
Proposal No: 0747864 PI: Giorgio A. AscoliAbstract:This award supports the preparation and sharing of computational neuroscience data as part of an exploratory activity aimed at catalyzing rapid and innovative advances in computational neuroscience and related fields. The data to be shared in this project are physiological and anatomical data from the rat hippocampus, including (1) recordings from hippocampal CA1 neurons during open field foraging, (2) simultaneous intracellular and extracellular in vivo recordings from CA1 pyramidal cells and histological identities of those neurons, (3) quantitative information on the cellular connectivity of the hippocampal formation, and (4) axonal reconstruction data from in vivo preparations. Anatomical and physiological data will be cross-annotated to facilitate browsing and integration, and provided in a form that is compatible with widely used simulators. It is anticipated that these data will be useful for developing anatomically and physiologically realistic neural networks and understanding emergent behavior of neuronal populations, in particular, the mechanisms of memory.
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BRAIN EAGER: Building reliable high-throughput consensus for neuronal morphologies
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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国内基金
海外基金
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 批准年份:
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  • 负责人:
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  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
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  • 项目类别:
    --
  • 资助金额:
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  • 批准年份:
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  • 负责人:
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  • 依托单位: