Modeling Neural Activity: Statistics, Dynamical Systems and Networks

神经活动建模：统计、动力系统和网络

• 批准号: 1308462
• 负责人: Robert Kass
• 金额: $ 1.2万
• 依托单位: Carnegie-Mellon 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: 2013-04-01 至 2014-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1308462&HistoricalAwards=false
• 关键词: Modeling; Neural; Activity; Statistics; Dynamical

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.

研讨会“建模神经活动：统计，动态系统和网络（莫纳）”将于2013年6月26日至28日在夏威夷的利韦举行。计算神经科学在不同的方向上发展，从生物物理模型神经活动的成功，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”相关的丰富的想法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于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。 研讨会“建模神经活动：统计，动态系统和网络（莫纳）”将于2013年6月26日至28日在夏威夷的利韦举行，目的是探索来自数学，统计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，但我们两国研究小组之间的具体交流和互动太少了。 美国和日本研究人员之间的互动应该有助于跨学科工作的推进。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，都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。“建模神经活动：统计，动态系统和网络（莫纳）”研讨会是数学，统计和神经网络分析之间的接口，其目标是产生新的和富有成效的研究路线。