Modeling Neural Activity: Statistics, Dynamical Systems and Networks

“神经活动建模：统计、动力系统和网络（MONA）”研讨会将于2013年6月26日至28日在夏威夷利休举行。计算神经科学从生物物理模型的成功、神经活动、大脑即计算机比喻的吸引力，以及统计和机器学习方法在整个科学领域的日益突出，在不同的方向上得到了发展。这有助于创造一套丰富的与“计算”相关的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。在这一领域，数学和统计研究之间的交集尤其少。计算神经科学的重要突破可能来自能够将目前基本上不同的方法结合起来的研究策略。研讨会“神经活动建模：统计，动力系统和网络（MONA）”将于2013年6月26日至28日在夏威夷利休举行，目的是探索来自数学，统计学和生物物理学的建模思想的富有成效的相互作用。研讨会的另一个目的是汇集美国和日本在这一领域的研究人员。虽然计算神经科学在美国和日本都有很强的代表性，但我们两国的研究小组之间很少有具体的交流和互动。美国和日本研究人员之间的互动将促进跨学科工作的发展。许多疾病，如多动症、自闭症、精神分裂症，以及中风和各种神经退行性疾病，都被认为与神经网络功能障碍有关。因为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理，它的成功有助于形成病理生理学的机制描述。研讨会“神经活动建模：统计、动力系统和网络（MONA）”是数学、统计学和神经网络分析的接口，其目标是产生新的和富有成效的研究方向。

The workshop "Modeling Neural Activity: Statisics, Dynamical Systems, and Networks (MONA)" will be held June 26-28, 2013, in Lihue, Hawaii. Computational neuroscience has grown, in distinct directions, from the success of biophysical models 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 studying 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. A workshop "Modeling Neural activity: Statisics, Dynamical Systems, and Networks (MONA)" will be held June 26-28, 2013, in Lihue, Hawaii, with the purpose of exploring fruitful interactions of modeling ideas that come from mathematics, statistics, and biophysics. An additional purpose of the workshop is to bring together U.S. and Japanese researchers in this area. While computational neuroscience is represented strongly in both the U.S. and Japan there has been too little concrete communication and interaction between research groups across our two countries. Interaction across American and Japanese researchers should facilitate the advance of cross-disciplinary work.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. The workshop ``Modeling Neural Activity: Statisics, Dynamical Systems, and Networks (MONA)" is at the interface between mathematics, statistics, and neural network analysis, and has as its goal to generate new and productive lines of research.