Conference on Modeling Neural Activity: Statistics, Dynamical Systems, and Networks

该奖项支持参加2016年6月22日至24日在夏威夷利韦举行的神经活动建模会议：统计，动态系统和网络（MONA 2）。许多疾病，如多动症，自闭症和精神分裂症，以及中风和各种神经退行性疾病，被认为涉及神经网络功能障碍。由于计算神经科学旨在为理解个体和集体神经放电模式的活动提供原则，因此它的成功有助于制定病理生理学的机械描述。本次会议将汇集来自美国和日本的统计学家和计算神经科学家，以加强两国科学家之间的合作。NSF的资助将有助于支持美国研究人员的参与。计算神经科学在不同的方向上发展，从神经活动的生物物理模型的成功，大脑作为计算机隐喻的吸引力，以及整个科学中统计和机器学习方法的日益突出。这有助于创造一套与“计算”相关的丰富思想和工具来研究神经系统，但它也导致了一种专业知识的巴尔干化。特别是，在这一领域的数学和统计研究之间几乎没有重叠。计算神经科学的重大突破可能来自能够将目前基本上不同的方法联合收割机结合起来的研究策略。该奖项旨在鼓励美国和日本科学家之间建立和加强合作。 更多信息可在会议网站http://www.stat.cmu.edu/mona2上找到。

This award supports participation in the conference on Modeling Neural Activity: Statistics, Dynamical Systems, and Networks (MONA2) held June 22-24, 2016 in Lihue, Hawaii. Many disorders, such as ADHD, autism, and schizophrenia, as well as stroke and various neurodegenerative diseases, are thought to involve dysfunction of neural networks. Because computational neuroscience aims to supply principles for understanding the activity of individual and collective neural firing patterns, its successes can help in formulating mechanistic descriptions of pathophysiology. This conference will bring together statisticians and computational neuroscientists from the US and Japan in order to enhance collaborations between scientists in the two countries. NSF funding will help support the involvement of the US researchers. Computational neuroscience has grown, in distinct directions, from the success of biophysical models of neural activity, the attractiveness of the brain-as-computer metaphor, and the increasing prominence of statistical and machine learning methods throughout science. This has helped create a rich set of ideas and tools associated with "computation" to study the nervous system, but it has also led to a kind of balkanization of expertise. There is, especially, very little overlap between mathematical and statistical research in this area. Important breakthroughs in computational neuroscience could come from research strategies that are able to combine what are currently largely distinct approaches. This award seeks to encourage the creation and enhancement of collaborations between scientists from the US and Japan. More information can be found on the conference web site http://www.stat.cmu.edu/mona2.