題 目：The study of dynamic neural field modeling based on fractal sets
主講人：季家兵博士
時(shí) 間：2022年6月2日（周四）13：30-14：30
地 點(diǎn)：6號(hào)學(xué)院樓500會(huì)議室
主辦單位：新葡萄8883官網(wǎng)AMG 浙江省2011“數(shù)據(jù)科學(xué)與大數(shù)據(jù)分析協(xié)同創(chuàng)新中心”
摘要：
Amari dynamic neural field model is the most important theory in neural dynamics. The existing research results are mostly based on perception space. Because the cerebral cortex is a fractal, the previous model is too idealistic. Then, we establish dynamic neural field model based on fractal is inevitable choice. But fractal sets has complicated structure. How to establish a unified calculus formula on fractal sets, has been unable to be solved so far.Therefore, in view of mathematical theories and methods of the calculus on fractal sets has important theoretical significance and practical value. The purpose of this project is to use the classic calculus theory and fractal theory, by constructing a continuous stair function, give the relation between calculus on fractal set and classic calculus, and then give the new theory and method for studying dynamic neural field.
主講人簡(jiǎn)介：
季家兵，數(shù)據(jù)科學(xué)與大數(shù)據(jù)技術(shù)系教師，大數(shù)據(jù)與應(yīng)用統(tǒng)計(jì)碩士生導(dǎo)師。擔(dān)任FractalComplex Geometry, Patterns, and Scaling in Nature and Society審稿人。主持（完成）國(guó)家自然科學(xué)基金項(xiàng)目1項(xiàng)。參與完成國(guó)家自然科學(xué)基金3項(xiàng)。在International Journal of computer mathematics、International Journal of Nonlinear Science、Neural Networks、International Journal of Chaos and Bifurcation等國(guó)際SCI檢索期刊上發(fā)表學(xué)術(shù)論文若干篇。
歡迎各位老師和同學(xué)踴躍參加！
