走向现代数学系列讲座:徐辉副教授解析生物神经网络数理建模

  • 2025年6月5日通知

汕头大学数学研究所将于2025年6月7日举办第787期“走向现代数学”学术报告会,特邀上海交通大学徐辉副教授作专题报告,具体安排如下:

报告信息

  • 题目:生物神经网络的数理建模理论及前沿研究
  • 报告人:徐辉 副教授(上海交通大学)
  • 主持人:单丽 副教授
  • 时间:2025年6月7日 14:00
  • 地点:东海岸校区 D实209

内容概要

报告聚焦神经可塑性机制的核心特性,通过三方面展开:

  1. 对比生物神经网络可塑性机制与人工神经网络学习算法的功能、结构及适应性差异
  2. 分析异质性与动态性对学习效果的影响
  3. 探讨生物可塑性机制应用于人工智能的可行性及跨学科研究前景

主讲人简介

徐辉副教授现任上海交通大学长聘教职,兼任英国帝国理工学院荣誉研究员,主要研究方向包括:

  • 高精度数值算法
  • 非线性系统神经算子理论
  • 脑启发智能计算 近五年主持国家级等项目20余项,发表SCI论文80余篇,担任《Journal of Hydrodynamics》执行编委及多学科领域专业委员职务。

该学术活动有助于促进校内外跨学科交流,推动数学与神经科学的交叉研究。

Shantou University Hosts Academic Lecture on Mathematical Modeling of Biological Neural Networks

  • June 5, 2025 Announcement

The Mathematical Institute of Shantou University will hold the 787th "Towards Modern Mathematics" series lecture on June 7, 2025, featuring Associate Professor Xu Hui from Shanghai Jiao Tong University:

Lecture Details

  • Title: Mathematical Modeling Theories and Cutting-Edge Research of Biological Neural Networks
  • Speaker: Assoc. Prof. Xu Hui (Shanghai Jiao Tong University)
  • Host: Assoc. Prof. Shan Li
  • Time: 14:00, June 7, 2025
  • Venue: Room D-Shi 209, East Coast Campus

Abstract

The lecture examines neural plasticity through three dimensions:

  1. Comparative analysis of plasticity mechanisms in biological vs. artificial neural networks
  2. Impact of heterogeneity and dynamics on learning efficacy
  3. Potential applications of bio-plasticity in AI and interdisciplinary collaboration

Speaker Profile

Prof. Xu Hui is a tenured associate professor at Shanghai Jiao Tong University and Honorary Research Fellow at Imperial College London. His research spans:

  • High-precision numerical algorithms
  • Neural operator theories for nonlinear systems
  • Brain-inspired intelligent computing With over 20 funded projects and 80+ SCI publications in recent years, he serves as Executive Editor of Journal of Hydrodynamics and committee member for multiple disciplinary organizations.

This academic event facilitates cross-disciplinary dialogue between mathematics and neuroscience.

Source: STU OA