报告主题：Neuromorphic Computing Approach to Computer Vision
报告人：唐华锦 教授 （四川大学）
报告摘要：In recent years neuromorphic computing has become an important methodology to emulate brain style intelligence. There has been rapid progress in computational theory, learning algorithms, signal processing and circuit design and implementation. By using neural spikes to represent the outputs of sensors and for communication between computing blocks, and using spike timing based learning algorithms, neuromorphic computational models and hardware have achieved promising real-time learning performance. This talk will start from introducing the computational principles and architecture found in neural systems, and present a new theme of neuromorphic approach to computer vision.