Japan (JSPS) Postdoctoral Program: Dynamics in Chaotic Neural Networks

日本（JSPS）博士后项目：混沌神经网络动力学

• 批准号: 9001758
• 负责人: Elizabeth Klerman
• 金额: $ 0.47万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-05-15 至 1992-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9001758&HistoricalAwards=false
• 关键词: Japan; JSPS; Postdoctoral; Program; Dynamics

This award will provide supplementary support to enable Dr. Elizabeth Klerman of the Harvard Medical School to conduct collaborative research for 12 months with Dr. K. Aihara of Tokyo Denki University, Japan. They will investigate the significance of chaos in neural information processing by analyzing the characteristics of artificial neural networks composed of neurons with chaotic dynamics. The nonlinear phenomena of deterministic chaos is now recognized as ubiquitous in fields such as feedback systems, optics, ecology and biological systems. This project will attempt to demonstrate the effects of chaotic fluctuations in applications of network and neurocomputing. For example, since chaotic neurons can produce macroscopic fluctuations spontaneously, they may provide a means of escaping from undesirable local minima in problems of optimiza- tion, learning and self organization. Dr. Aihara's background in mathematical modeling of chaotic neurons will complement Dr. Klerman's research experience in the area of circadian rhythms.

该奖项将提供补充支持， 哈佛医学院的伊丽莎白·克尔曼博士 与K博士合作研究了12个月。相原王 日本电机大学。 他们会调查 混沌在神经信息处理中的应用 由神经元组成的人工神经网络的特性 混沌动力学。 确定性混沌的非线性现象现在被认为是 普遍存在于反馈系统、光学、生态学和 生物系统。 该项目将试图证明 混沌涨落在网络应用中的影响， 神经计算 例如，由于混沌神经元可以产生 自发的宏观波动，它们可以提供一种手段， 在最优化问题中， 学习和自组织。 相原博士的背景 混沌神经元的数学建模将补充博士。 Klerman在生理节律领域的研究经验。