Neuroinformatics Research Core

项目摘要：神经信息学核心 神经信息学(NI)核心在堪萨斯州立大学(K-State)建立，第一阶段为Cobre 用于支持整个CNAP的主要项目、计划和核心的资金。在第二阶段，NI Core将 扩展我们在系统、工作流设计和高性能计算(HPC)方面的技能，以深入了解 在机器学习和人工智能(ML/AI)模型方面的专业知识，增加了两名教员顾问和两名 以研究生为核心。NI Core为数据共享提供安全、快速和高效的访问， 分析、计算建模和高性能计算。这一核心对于支持 对神经科学研究中收集的大数据集进行管理、分析和建模，例如 神经成像(功能磁共振成像、扩散张量成像)、神经记录 (脑电图学，电生理学)，听觉学习，转基因阿尔茨海默病模型，以及 通常实时进行的其他定量行为测量。在第二阶段，NI核心 将与K-State合作，增加对本地和基于云的敏感数据和分析的支持 首席信息安全官和研究信息安全飞地(RISE)。升起是一朵云- 使用Microsoft Azure云来满足赞助研究的适当标准的基于系统 努力。NI Core是一个成熟的核心设施，将支持所有三个主要项目，另外两个 研究核心，以及所有的CNAP项目。所有主要和附属成员都可以使用NI核心访问权限 CNAP。高性能计算和数据存储能力的提供将继续促进我们吸引顶尖 研究人员(例如，K-State的新教员、试点资助负责人和将受益于 国家行动方案资源)。神经科学研究人员正变得越来越依赖于工具来处理 数据集和机器学习技术的有效应用。NI Core将提供卓越的 支持执行生成、分析和分发大型数据集的现代神经科学技术， 消除目前研究依赖这些技术的CNAP教职员工和研究人员的障碍，或者 那些将在未来进行这项研究的人。增加的工具和人力资源将继续支持 在核心和方案中成功地提供外部资金，并促进初级调查人员毕业 独立地位。这一核心将继续直接支持CNAP的另外两个核心设施，并将 为与科学交流网络合作伙伴开展新的合作提供极好的资源 获取新的机器学习和数据分析的机构和支持培训机会 技巧。NI Core的首要目标是促进CNAP研究人员竞争 通过采用ML/AI等尖端技术提供外部资金，这些技术是回答 现代神经科学研究人员面临的最具挑战性的问题。

PROJECT SUMMARY: NEUROINFORMATICS CORE The Neuroinformatics (NI) Core was established at Kansas State University (K-State) with Phase 1 COBRE funding to support the primary projects, programs, and cores across CNAP. In Phase 2, the NI Core will extend our skills in systems, workflow design, and high-performance computing (HPC) to include deep expertise in machine learning and artificial intelligence (ML/AI) models, adding two faculty advisors and two graduate students to the core. The NI Core provides secure, fast, and efficient access for data sharing, analytics, computational modeling, and HPC. This core is particularly important for supporting the management, analysis, and modeling of large data sets collected in neuroscience studies such as neuroimaging (functional magnetic resonance imaging, diffusion tensor imaging), neural recordings (electroencephalography, electrophysiology), auditory learning, transgenic Alzheimer’s Disease modeling, and other quantitative behavioral measurements that are often conducted in real-time. During Phase 2, the NI Core will add support for on-premises and cloud-based sensitive data and analysis in partnership with the K-State Chief Information Security Officer and the Research Information Security Enclave (RISE). RISE is a cloud- based system that uses Microsoft Azure cloud to meet the appropriate standards for sponsored-research efforts. The NI Core is an established core facility that will support all three primary projects, the two other research cores, and all CNAP programs. NI Core access will be available to all primary and affiliated members of CNAP. The provision of HPC and data storage capabilities will continue to promote our ability to attract top researchers (e.g., new faculty at K-State, pilot grant leaders, and additional researchers who will benefit from CNAP resources). Neuroscience researchers are becoming increasingly reliant on tools for working with large data sets and the effective application of machine learning techniques. The NI Core will supply excellent support for executing modern neuroscience techniques that generate, analyze, and distribute large data sets, removing a barrier to CNAP faculty and researchers whose research relies on these techniques currently, or those whose research will do so in the future. Increased tools and staff resources will continue to support extramural funding success across the cores and programs and promote graduation of junior investigators to independent status. This core will continue to directly support the other two CNAP core facilities and will provide an excellent resource for developing new collaborations with Scientific Exchange Network partner institutions and supporting training opportunities for acquiring new machine learning and data analytic techniques. The overarching goal of the NI Core is to promote the ability of CNAP researchers to compete for extramural funding by incorporating cutting-edge technologies, such as ML/AI, that are needed to answer the most challenging questions facing modern neuroscience researchers.