报告人:Xiaoying Han韩晓莹(美国Auburn大学)
邀请人:吴付科
报告时间:2023年12月25日(星期一)16:00-17:30
报告地点:科技楼南楼706
报告题目:Lattice models arising from neural networks
报告摘要:Several lattice dynamical systems modeling evolution of biological or artificial neural networks will be introduced. An emphasis will be given to the interconnection structures of neural networks and how they affect the stability of the networks. Effects of noisy external input and/or time delays in responding to activation will be addressed. Mathematical tools and techniques to study long term dynamics of these networks will be presented.
报告人简介:Xiaoying Han,美国Auburn大学教授,理学院副院长(College of Sciences and Mathematics Associate Dean for Academic Affairs),2001年在中国科技大学计算机专业少年班毕业,获得学士学位,2007年在美国Buffalo大学取得数学博士学位。 目前在包括 JDE、JDDE、SIAM J. Math. Anal.、SIAM J. Appl. Dyn. Syst. 等著名杂志发表高水平学术论文40余篇,出版专著3部,并担任多个国际期刊的编委。