Nonlinear Dynamics and Stochastic Methods: From Neuroscience to Other Biological Applications

非线性动力学和随机方法：从神经科学到其他生物学应用

• 批准号: 1347717
• 负责人: Rodica Curtu
• 金额: $ 2万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-03-01 至 2015-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1347717&HistoricalAwards=false
• 关键词: Nonlinear; Dynamics; Stochastic; Methods; Neuroscience

The conference "Nonlinear Dynamics and Stochastic Methods: From Neuroscience to Other Biological Applications" will be held at the University of Pittsburgh on March 10-12, 2014. Recent years have witnessed an explosion of biological data that require novel quantitative approaches for their interpretation and analysis. In parallel, concentrated efforts were made by both the government and the national universities to educate a new generation of researchers with interdisciplinary expertise in mathematics, statistics and biology. However, the demand for such specialized skills is still to be met as few mathematical and biological scientists are trained in both topics. The meeting will bring together a mix of senior and junior scientists to report on theoretical methods that proved successful in mathematical neuroscience, and to encourage their dissemination and application to modeling in computational medicine and other biological fields.In the past two decades, among all biological fields, neuroscience is arguably the most influenced by quantitative methods. Computational models were used to propose anatomical- and functional-related hypotheses and, conversely, novel experimental findings have led to the development of new mathematical theories. While most of these theoretical advancements were driven by the investigation of the nervous system, they are general enough to be successfully translated to modeling problems in other areas of biology and medicine. The meeting will integrate education and research by introducing young investigators to a useful and effective mathematical toolbox for quantitative biology, while presenting at the same time the most recent advancements in the field.

会议“非线性动力学和随机方法：从神经科学到其他生物学应用”将于2014年3月10日至12日在匹兹堡大学举行。 近年来，生物数据的爆炸性增长，需要新的定量方法来解释和分析。与此同时，政府和国立大学都集中努力，培养具有数学、统计学和生物学跨学科专门知识的新一代研究人员。然而，对这种专门技能的需求仍然有待满足，因为很少有数学和生物科学家在这两个主题中接受培训。 会议将汇集资深和初级科学家，报告在数学神经科学中被证明是成功的理论方法，并鼓励他们在计算医学和其他生物领域的建模中的传播和应用。在过去的二十年里，在所有生物领域中，神经科学可以说是受定量方法影响最大的。计算模型被用来提出解剖和功能相关的假设，相反，新的实验发现导致了新数学理论的发展。虽然这些理论上的进步大多是由神经系统的研究推动的，但它们足够普遍，可以成功地转化为生物学和医学其他领域的建模问题。会议将通过向年轻的研究人员介绍定量生物学有用和有效的数学工具箱来整合教育和研究，同时介绍该领域的最新进展。