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: $ 25万
• 依托单位: Joan and Sanford I. Weill Medical College of Cornell University
• 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
• 起止时间: 1995-09-01 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9506171&HistoricalAwards=false
• 关键词: Identifiable; Neurons; Molluscs; Neurophysiology; Network

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.

该奖项支持规划和初步开发一个数据库和相关工具，用于开发软体动物识别神经元数据库。该数据库将为两个神经生物学家社区提供服务。对于软体动物神经科学家来说，目标是建立一个数据库，其中包含已识别和可识别神经元的描述，来自已识别细胞和候选神经元识别的神经生理学数据的实际数据集，以及对神经元和网络的电生理模拟有用的模型参数。对于更广泛的神经生理学家来说，目标是一套可概括的注释数据结构，用于存储、分类、查询和分布来自许多物种和技术的神经生理学数据。这两个社区的辅助目标是开发用户友好的图形工具，用于数据输入、查看和数据库查询。项目开发由具有丰富软件开发经验的软体动物神经生物学家领导，与具有识别神经元重要研究经验的学术多平台软件开发人员协调。该项目的所有阶段将与来自软体动物社区广泛代表的用户反馈以及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进行协调。为了进一步服务神经科学社区，数据库访问，以及由该项目开发的用户工具和数据类型规范，将免费提供。