BD Spokes: SPOKE: MIDWEST: Collaborative: Advanced Computational Neuroscience Network (ACNN)
BD 辐条:辐条:中西部:协作:高级计算神经科学网络 (ACNN)
基本信息
- 批准号:2148729
- 负责人:
- 金额:$ 33.29万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-11-01 至 2023-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Novel neuroscience tools and techniques are necessary to enable insight into the building blocks of neural circuits, the interactions between these circuits that underpin the functions of the human brain, and modulation of these circuits that affect our behavior. To leverage rapid technological development in sensing, imaging, and data analysis new ground breaking advances in neuroscience are necessary to facilitate knowledge discovery using data science methods. To address this societal grand challenge, the project will foster new interdisciplinary collaborations across computing, biological, mathematical, and behavioral science disciplines together with partnerships in academia, industry, and government at multiple levels. The Big Data Neuroscience Spoke titled Midwest: Advanced Computational Neuroscience Network (ACNN) is strongly aligned with the national priority area of neuroscience and brings together a diverse set of committed regional partners to enable the Midwest region to realize the promise of Big Data for neuroscience. The ACNN Spoke will build broad consensus on the core requirements, infrastructure, and components needed to develop a new generation of sustainable interdisciplinary Neuroscience Big Data research. ACNN will leverage the strengths and resources in the Midwest region to increase innovation and collaboration for the understanding of the structure, physiology, and function of the human brain through partnerships and services in education, tools, and best practices. The ACNN will design, pilot and support powerful neuroscientific computational resources for high-throughput, collaborative, and service-oriented data aggregation, processing and open-reproducible science. The ACNN Spoke framework will address three specific problems related to neuroscience Big Data: (1) data capture, organization, and management involving multiple centers and research groups, (2) quality assurance, preprocessing and analysis that incorporates contextual metadata, and (3) data communication to software and hardware computational resources that can scale with the volume, velocity, and variety of neuroscience datasets. The ACNN will build a sustainable ecosystem of neuroscience community partners in both academia and industry using existing technologies for collaboration and virtual meeting together with face-to-face group meetings. The planned activities of the ACNN Spoke will also allow the Midwest Big Data Hub to disseminate additional Big Data technologies resources to the neuroscience community, including access to supercomputing facilities, best practices, and platforms.This award received co-funding from CISE Divisions of Advanced Cyberinfrastructure (ACI) and Information and Intelligent Systems (IIS).
新颖的神经科学工具和技术对于深入了解神经回路的组成部分、支撑人脑功能的这些回路之间的相互作用以及影响我们行为的这些回路的调制是必要的。为了利用传感、成像和数据分析领域的快速技术发展,神经科学领域必须取得突破性的进展,以促进使用数据科学方法发现知识。为了应对这一巨大的社会挑战,该项目将促进跨计算、生物、数学和行为科学学科的新的跨学科合作,以及学术界、工业界和政府的多个层面的合作伙伴关系。题为“中西部:高级计算神经科学网络 (ACNN)”的大数据神经科学演讲与国家神经科学优先领域紧密结合,汇集了众多坚定的区域合作伙伴,使中西部地区能够实现大数据对神经科学的承诺。 ACNN Spoke 将就开发新一代可持续跨学科神经科学大数据研究所需的核心要求、基础设施和组件建立广泛共识。 ACNN 将利用中西部地区的优势和资源,通过教育、工具和最佳实践方面的合作伙伴关系和服务,加强创新和协作,以了解人脑的结构、生理学和功能。 ACNN 将设计、试点和支持强大的神经科学计算资源,用于高通量、协作和面向服务的数据聚合、处理和开放可复制科学。 ACNN Spoke 框架将解决与神经科学大数据相关的三个具体问题:(1) 涉及多个中心和研究小组的数据捕获、组织和管理,(2) 包含上下文元数据的质量保证、预处理和分析,以及 (3)与软件和硬件计算资源的数据通信,可以根据神经科学数据集的数量、速度和种类进行扩展。 ACNN 将利用现有技术进行协作、虚拟会议以及面对面的小组会议,建立学术界和工业界神经科学社区合作伙伴的可持续生态系统。 ACNN Spoke 的计划活动还将允许中西部大数据中心向神经科学界传播更多大数据技术资源,包括使用超级计算设施、最佳实践和平台。该奖项由 CISE 高级部门共同资助网络基础设施 (ACI) 以及信息和智能系统 (IIS)。
项目成果
期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Development of white matter tracts between and within the dorsal and ventral streams
- DOI:10.1007/s00429-021-02414-5
- 发表时间:2021-01
- 期刊:
- 影响因子:3.1
- 作者:S. Vinci-Booher;B. Caron;D. Bullock;K. James;F. Pestilli
- 通讯作者:S. Vinci-Booher;B. Caron;D. Bullock;K. James;F. Pestilli
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Franco Pestilli其他文献
The visual dorsal and ventral streams communicate through the vertical occipital fasciculus
视觉背侧和腹侧流通过垂直枕叶束进行交流
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Hiromasa Takemura;Franco Pestilli;Ariel Rokem;Jonathan Winawer;Jason D. Yeatman;Brian A. Wandell - 通讯作者:
Brian A. Wandell
New technologies for precision brain science: studying individuality and variability in large human populations.
精密脑科学新技术:研究大量人群的个性和变异性。
- DOI:
- 发表时间:
2016 - 期刊:
- 影响因子:0
- 作者:
Franco Pestilli;Cesar Caiafa;& 竹村浩昌. - 通讯作者:
& 竹村浩昌.
Franco Pestilli的其他文献
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{{ truncateString('Franco Pestilli', 18)}}的其他基金
NCS-FO: Connectome mapping algorithms with application to community services for big data neuroscience
NCS-FO:连接组映射算法及其应用于大数据神经科学社区服务
- 批准号:
2203524 - 财政年份:2021
- 资助金额:
$ 33.29万 - 项目类别:
Standard Grant
Collaborative Proposal: CRCNS US-German Data Sharing Proposal: DataLad - a decentralized system for integrated discovery, management, and publication of digital objects of science
合作提案:CRCNS 美德数据共享提案:DataLad - 一个用于集成发现、管理和出版科学数字对象的去中心化系统
- 批准号:
2148700 - 财政年份:2021
- 资助金额:
$ 33.29万 - 项目类别:
Standard Grant
Collaborative Proposal: CRCNS US-German Data Sharing Proposal: DataLad - a decentralized system for integrated discovery, management, and publication of digital objects of science
合作提案:CRCNS 美德数据共享提案:DataLad - 一个用于集成发现、管理和出版科学数字对象的去中心化系统
- 批准号:
1912270 - 财政年份:2019
- 资助金额:
$ 33.29万 - 项目类别:
Standard Grant
NCS-FO: Connectome mapping algorithms with application to community services for big data neuroscience
NCS-FO:连接组映射算法及其应用于大数据神经科学社区服务
- 批准号:
1734853 - 财政年份:2017
- 资助金额:
$ 33.29万 - 项目类别:
Standard Grant
BD Spokes: SPOKE: MIDWEST: Collaborative: Advanced Computational Neuroscience Network (ACNN)
BD 辐条:辐条:中西部:协作:高级计算神经科学网络 (ACNN)
- 批准号:
1636893 - 财政年份:2016
- 资助金额:
$ 33.29万 - 项目类别:
Standard Grant
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