报告题目：Adaptive Sensorimotor Intelligence Through Cortical Oscillatory Synchrony

报告时间：2026年10月8日 9:30-10:30

地点：勤园12-304

报告摘要：

Human cognition arises from coordinated spiking dynamics in distributed cortical columns, where perceptual representations are shaped by experience-dependent plasticity in the vertical connections across cortical layers. Inspired by this notion, our central premise is a two-layer computational model of sensorimotor learning: Upper-layer neurons encode sensory input while indexing a spatial reference frame anchored in the lower layer. Upon movement, the lower layer transitions to a new location, generating a prediction of the next sensory input in the upper layer. To that end, we develop a brain-inspired learning primitive in which cognition-level neural synchrony emerges through iterative bottom-up and top-down interactions between micro-scale dynamics of spiking neurons and a macro-scale mechanism of oscillatory synchronization. This research opens a new window for advanced learning-enabled intelligence by addressing fundamental questions of neural information representation and mechanisms of cognition.

主讲人：

Guorong Wu教授现就职于美国北卡罗来纳大学教堂山分校。他于2006年在上海交通大学获得计算机科学与工程博士学位，长期从事医学影像分析、机器学习等研究。其研究聚焦于利用先进计算模型和数据驱动方法理解人脑机制，并发现阿尔茨海默病等神经系统疾病的高灵敏度、高特异性生物标志物。已在 Nature Communications、PNAS、IEEE TPAMI, IEEE TMI、NeurIPS、ICML、ICLR、AAAI 等国际顶级期刊和会议发表论文 360 余篇。他还积极参与国际学术服务，担任/曾任 IEEE TMI等国际期刊的编辑、编委或审稿专家等。此外，吴教授正联合斯坦福大学 Pohl 教授、约翰斯·霍普金斯大学 Prince 教授等国际顶级学者，共同筹办以“自主多模态 Agent 在医学影像中的应用”为主题的生命科学与健康技术(AI4Science)专题夏令营。本次夏令营将围绕医学影像智能分析、多模态大模型、自主智能体及其在生命健康领域的前沿用展开，诚挚欢迎相关领域的学生咨询与参与。