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Identifiable Neurons of Molluscs: A Neurophysiology Network Database

Identifiable Neurons of Molluscs: A Neurophysiology Network Database
软体动物的可识别神经元:神经生理学网络数据库
批准号:
9506171
负责人:
Daniel Gardner
金额:
$25.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-09-01 至 1999-08-31

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中文摘要
翻译
该奖项支持规划和初步开发一个数据库和相关工具,用于开发一个已识别的软体动物神经元数据库。该数据库将服务于两个神经生物学家社区。对于软体动物神经科学家,目标是一个数据库,其中包含已识别和可识别的神经元的描述,来自已识别细胞和神经元识别候选者的神经生理数据的实际数据集,以及用于神经元和网络的电生理模拟的模型参数。对于更广泛的神经生理学家社区,目标是一组可概括的注释数据结构,用于存储,分类,查询和分发来自许多物种和技术的神经生理数据。这两个社区的一个辅助目标是开发方便用户的图形工具,用于数据输入和查看以及数据库查询。项目开发由一位具有丰富软件开发经验的软体动物神经生物学家领导,与一位在已识别神经元方面具有重要研究经验的学术多平台软件开发人员协调。该项目的所有阶段都将与来自软体动物社区广泛代表的用户反馈以及来自使用其他无脊椎动物和哺乳动物物种的神经生理学家的反馈相协调。为了进一步服务于神经科学社区,数据库访问以及该项目开发的用户工具和数据类型规范将免费提供。
英文摘要
The award supports planning and initial development of a database and associated tools for developing a database of identified neurons for molluscs. The database will serve two communities of neurobiologists. For molluscan neuroscientists, the goal is a database containing descriptions of identified and identifiable neurons, actual datasets of neurophysiological data from both identified cells and candidates for neuronal identification, and model parameters useful for electrophysiological simulations of neurons and networks. For the wider community of neurophysiologists, the goal is a generalizable set of annotated data structures for storage, classification, query, and distribution of neurophysiological data from many species and techniques. An ancillary goal for both communities is the development of user-friendly graphical tools for data entry and viewing and database query. Project development is headed by a molluscan neurobiologist with extensive software development experience, coordinated with an academic multiplatform software developer with significant research experience in identified neurons. All phases of the project will be coordinated with user feedback from a broad representation of the molluscan community, as well as from neurophysiologists using other invertebrate and mammalian species. To further serve the neuroscience communities, database access, as well as user tools and data type specifications developed by the project, will be provided freely.
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SBIR Phase I: Low-Loss Ad-Hoc Networking for Outdoor WiFi
  • 批准号:
    1843462
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.5万
  • 财政年份:
    2019
  • 负责人:
    Daniel Gardner
  • 依托单位:
HBP: Algorithms and Informatics for Analysis of Neural Coding
  • 批准号:
    0414813
  • 项目类别:
    Interagency Agreement
  • 资助金额:
    $21.63万
  • 财政年份:
    2004
  • 负责人:
    Daniel Gardner
  • 依托单位:
海外基金