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【图书馆系列讲座】如何使用Word制作长文档——以学位论文写作为例
Supremacy of quantum senses
Chiral graviton modes in fractional quantum Hall liquids
Effective field theories of thermalizing systems
报告题目:
清华信息大讲堂第192讲:An evolutionary developmental perspective of brain-inspired computation
 报告人:
金耀初
英国萨里大学计算科学系,讲席教授
报告时间:
2020-01-08 10:00
报告地点:
信息楼(FIT)1-515
主办单位:
信息学院
  简介:

讲演摘要

This talk discusses the organizational principles of neural systems from the evolutionary developmental perspective. We first provide a brief introduction to evolution and development of human brain and nervous systems. Then computational models of neural and morphological evolution and development are presented. Our experimental results reveal that energy minimization is the main principle behind the organization of nervous systems and there is a close coupling between body and brain in evolution and development. Finally, we present computational models of neural plasticity embedded in the reservoir computing and discuss their influence on the learning performance of echo state networks and spiking neural networks.


讲演者简介

Jin Yaochu received his bachelor's, master's and doctor's degrees from the department of electrical engineering, Zhejiang University, and his doctor's degree in engineering from the institute of neural information, Ruhr University Bochum, Germany.He is Distinguished Chair in computational intelligence and director of the research group "natural computing and applications", department of computational sciences, university of surrey, UK.He is the "cheungkong scholar" professor of the ministry of education, the national distinguished expert, and the "Finnish chair professor" of the Finnish national institute of technology and innovation.Professor jin yaochu is an IEEE Fellow, chief editor of IEEE transactions on cognitive and developmental Systems and chief editor of Complex&Intelligent Systems (Springer).He has been engaged in the theoretical and applied research of evolutionary optimization, evolutionary learning and evolutionary development system for a long time.

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