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CRCNS data sharing: Comparative Neuromics of Gastropod Molluscs

CRCNS data sharing: Comparative Neuromics of Gastropod Molluscs
CRCNS 数据共享:腹足类软体动物的比较神经组学
批准号:
0827418
负责人:
Paul Katz
金额:
$22.25万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2011-08-31

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中文摘要
翻译
该奖项支持计算神经科学数据的准备和共享,作为CRCNS计划的一个新组成部分,旨在催化计算神经科学及相关领域的快速创新进展。 通过许多实验室的合作努力,该项目结合了几个重要的腹足动物模型系统的神经系统知识,包括Aesthesia,Clione,Helisoma,Hesthesia(Cantareus)、Hermissenda、Limax、Mumbaea、Melibe、Pleurobranchaea和Tritonia,为了给腹足类的比较神经生物学研究奠定基础,比较基因组学使研究人员能够理解腹足类的进化和发展,生物体在基因组方面的相似性和差异,比较神经元,神经元及其连接的比较物种,提供了前所未有的机会,以增加我们对神经系统结构和功能的理解。腹足类软体动物是唯一适合神经元分析,因为他们有大的单独可识别的神经元和工作已经进行了四十多年的物种,从陆地和水生肺类动物的海洋后鳃,栖息在不同的生态位。该项目将把已发表的关于腹足类神经元和神经回路的知识整合到一个可搜索、可扩展的知识库中,并以一种可以与其他知识库和主要数据源联合的格式呈现。该项目将建立在现有的基于网络的工具,并与其他相关的努力,如神经银行,开放生物医学本体论,和神经科学特定的本体论正在开发的生物医学信息学研究网络和神经科学信息框架。腹足类用户社区参与提供信息来源和测试项目的结果,以确保表示的准确性和格式的可用性。巩固大量积累的腹足类神经系统的知识是必不可少的扩大使用这些模式生物的基因组工具成为通过Aesthesia基因组计划和其他举措。该项目将作为联合其他数据库的基础,包括神经元形态学,神经元和神经电路计算模拟,信号转导通路。它还将作为具有更多不同神经系统的大型研究社区的概念验证。
英文摘要
This award supports the preparation and sharing of computational neuroscience data as part of a new component of the CRCNS program aimed at catalyzing rapid and innovative advances in computational neuroscience and related fields. Through a collaborative effort of many laboratories, this project combines knowledge about the nervous systems of several important gastropod model systems, including Aplysia, Clione, Helisoma, Helix (Cantareus), Hermissenda, Limax, Lymnaea, Melibe, Pleurobranchaea, and Tritonia, in an effort to lay the foundation for future comparative neuromics in gastropods.Just as comparative genomics has enabled researchers to understand the evolution and development of organisms in terms of similarities and differences in their genomes, comparative neuromics, the comparison of neurons and their connections across species, offers unprecedented opportunities to increase our understanding of nervous system structure and function. Gastropod molluscs are uniquely suited for neuromic analysis because they have large individually identifiable neurons and work has proceeded for over four decades on species ranging from terrestrial and aquatic pulmonates to marine opisthobranchs, which inhabit diverse ecological niches. This project will consolidate the published knowledge about gastropod neurons and neural circuits into a searchable, extensible knowledge base, to be rendered in a format that can be federated with other knowledge repositories and primary data sources. This project will build on currently available web-based tools and coordinate with other related efforts, such as NeuronBank, Open Biomedical Ontologies, and neuroscience-specific ontologies being developed for the Biomedical Informatics Research Network and the Neuroscience Information Framework. The gastropod user community is involved in providing sources of information and testing the outcome of the project to assure the accuracy of the representation and the usability of the format. Consolidating the vast amount of accumulated knowledge about gastropod nervous systems is essential for the expanded use of these model organisms as genomic tools become available through the Aplysia genome project and other initiatives. This project will serve as a basis for federating other databases including neuronal morphology, neuronal and neural circuit computational simulations, and signal transduction pathways. It will also serve as a proof of concept for larger research communities with more disparate nervous systems.
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Collaborative Research: Higher-order processing in a peripheral neural structure of a nudibranch mollusc
  • 批准号:
    2227963
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $107.38万
  • 财政年份:
    2023
  • 负责人:
    Paul Katz
  • 依托单位:
Evolution of Neural Circuits for Locomotion
DOCTORAL DISSERTATION: Evolution of neural circuits underlying species-specific swimming behaviors in opisthobranch molluscs
Evolution of Neural Circuits for Locomotion
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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:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 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:
    --
  • 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: