2019 Collaborative Research in Computational Neuroscience (CRCNS) Annual Principal Investigators Meeting

大脑和神经系统研究的计算和定量方法从一开始就是神经科学的一部分。然而，最近在收集大型数据集、创建和运行大型模拟以及开发新的数据分析方法方面的进展，可能很快会使计算思维在这一领域发挥更重要的作用。这次会议的目的是促进实验和计算神经科学家之间的讨论和合作。会议将重点讨论如何增加计算神经科学中历史上代表性不足的群体的参与。由NSF-NIH-ANR-BMBF-BSF-NICT-AEI-ISCIII计算神经科学合作研究（CRCNS）计划资助的首席研究员和联合首席研究员每年举行会议，报告项目；讨论科学、教育和项目相关问题；并发展一个有凝聚力的研究者社区，代表许多不同的计算神经科学方法。第15届CRCNS研究人员会议汇集了由该计划支持的广泛的计算神经科学研究人员，包括全体讲座，口头和海报展示以及小组讨论。会议定于2019年9月2日至4日举行，由德克萨斯大学奥斯汀分校主办。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Computational and quantitative approaches to the study of the brain and nervous system have been a part of neuroscience since its beginnings as a field. However, recent advances in the ability to collect large data sets, to create and run very large simulations, and in the development of new data analysis approaches may soon lead to an even more central role for computational thinking in this field. The goal of this meeting is to promote discussions and collaboration between experimental and computational neuroscientists. The meeting will highlight strategies for increasing the participation of historically under-represented groups in computational neuroscience.The Principal Investigators and Co-Principal Investigators of grants supported through the NSF-NIH-ANR-BMBF-BSF-NICT-AEI-ISCIII Collaborative Research in Computational Neuroscience (CRCNS) program meet annually to report on projects; to discuss scientific, educational, and program-related issues; and to develop a cohesive investigator community representing many different approaches to computational neuroscience. This 15th meeting of CRCNS investigators brings together a broad spectrum of computational neuroscience researchers supported by the program, and includes plenary lectures, oral and poster presentations, and panel discussions. The meeting is scheduled for September 2-4, 2019 and is hosted by the University of Texas, Austin.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.