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: 1636850
• 负责人: Satya Sahoo
• 金额: $ 16.49万
• 依托单位: Case Western Reserve University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1636850&HistoricalAwards=false
• 关键词: BD; Spokes; SPOKE; MIDWEST; Collaborative; BD; Spokes; SPOKE; MIDWEST; Collaborative

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是必要的，以洞悉神经回路的构建基础，这些基于人类大脑功能的这些电路之间的相互作用以及对影响我们行为的这些电路的调节。为了利用在传感，成像和数据分析中的快速技术发展，对于使用数据科学方法促进知识发现的神经科学的新开发障碍是必不可少的。为了应对这一社会大挑战，该项目将在计算，生物学，数学和行为科学学科中促进新的跨学科合作，并在多个层面上与学术界，工业和政府的合作伙伴关系。大数据神经科学讲座标题为中西部：先进的计算神经科学网络（ACNN）与Neuroscience的国家优先领域密切相符，并汇集了一套多样化的承诺的区域伙伴，以使中西部地区能够实现对神经科学的大数据的希望。 ACNN讲座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，基础架构以及所需的组件建立广泛的共识。 ACNN将利用中西部地区的优势和资源来增加创新和协作，以通过教育，工具和最佳实践中的伙伴关系和服务来理解人脑的结构，生理和功能。 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，处理和开放性科学。 ACNN演讲框架将解决与神经科学大数据有关的三个特定问题：（1）涉及多个中心和研究小组的数据捕获，组织和管理，（2）质量保证，预处理和分析，结合了上下文元数据，以及（3）与软件和硬件计算资源的通信，这些计算和硬件计算资源可以随着数量，VELOCITY，VELOCITY和NEUROSCIERS和VATIOLSEST的范围而扩展。 ACNN将使用现有技术与面对面的小组会议一起建立学术界和行业的神经科学社区合作伙伴的可持续生态系统。 ACNN讲座的计划活动还将允许中西部大数据中心向神经科学社区传播其他大数据技术资源，包括访问超级计算设施，最佳实践和平台。该奖项从CISE获得了高级Cyber​​infrasture（ACI）和信息和智能系统（IIS）（IIS）的共同资助。