The Neural Engineering Data Consortium: Building Community Resources to Advance Research

神经工程数据联盟：构建社区资源以推进研究

• 批准号: 1305190
• 负责人: Iyad Obeid
• 金额: $ 10万
• 依托单位: Temple University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1305190&HistoricalAwards=false
• 关键词: Neural; Engineering; Data; Consortium; Building

Despite significant progress in Neural Engineering in recent years, overall progress in the field does not appear to have been commensurate with the scope of investment. It has become evident that the field can benefit from a new paradigm in research and development that focuses on robust algorithm development. The purpose of this planning grant is to develop community support for the creation of the Neural Engineering Data Consortium (NEDC) at Temple University. The NEDC is focusing the attention of the research community on a progression of research questions as well as generating and curating massive data sets to be used in addressing those questions. Under this award, we are conducting an extensive series of workshops and site visits to build consensus amongst various research groups from academia and industry. Guided by this site research, we are developing an operational model for the NEDC that is simultaneously relevant to academic research, industry R&D, and government funding agencies. The NEDC is structured to significantly accelerate research progress and provide resources that promote the development of more robust technology. We are also broadening participation in neural engineering research by making data available to research groups who have significant signal processing expertise but who lack capacity for data generation. The impact of funded research is thus improved by enticing more participation in focused evaluation tasks. Finally, the NEDC is accelerating the transfer of technology to the healthcare marketplace, where it can directly enhance quality of life for a variety of patients.

尽管近年来神经工程取得了重大进展，但该领域的总体进展似乎与投资范围不相称。很明显，该领域可以从专注于鲁棒算法开发的研究和开发的新范式中受益。这项计划拨款的目的是为天普大学神经工程数据联盟（NEDC）的创建提供社区支持。NEDC将研究界的注意力集中在一系列研究问题上，并生成和管理用于解决这些问题的大量数据集。根据该奖项，我们正在举办一系列广泛的研讨会和实地考察，以在学术界和工业界的各个研究小组之间建立共识。在这个站点研究的指导下，我们正在为NEDC开发一个同时与学术研究、工业研发和政府资助机构相关的操作模型。NEDC的结构旨在显著加快研究进展，并提供促进更强大技术开发的资源。我们还通过向具有重要信号处理专业知识但缺乏数据生成能力的研究小组提供数据来扩大对神经工程研究的参与。因此，通过吸引更多的人参与重点评价任务，得到资助的研究的影响得到改善。最后，NEDC正在加速技术向医疗保健市场的转移，在那里它可以直接提高各种患者的生活质量。