IEEE CIS Summer School On Neuromorphic and Cyborg Intelligent Systems
2015/8/18
http://www.cs.zju.edu.cn/~gpan/necis2015/index.html
Introduction
As research continues, the line between humans and machines begins to blur. On the one hand, biological beings and machines are becoming closely-coupled with help of brain-machine interfaces (BMIs). Therefore, cyborg intelligence, which aims to tightly integrate artificial intelligence with biological intelligence, is emerging. Cyborg refers to a symbiotic bio-machine system, consisting of both organic and computing components. On the other hand, neuromorphic systems further envisions the closely-coupled connection of the organic and computing components and machines. Neuromorphic systems use digital, analog, and mixed-mode digital/analog circuits and software systems to mimic models of biological neural systems (such as perception, motor control, and multisensory integration). The fine-grained electric mimicry of the nervous system makes the machine side closer to the biological side.The main goal of this summer school is to provide a comprehensive review of current trends of research in the field of neuromorphic systems and cyborg intelligence. The participants are expected to acquire knowledge of various learning framework and computational models for neuromorphic systems and cyborg intelligence and be able to promote research activities in this area.
Invited Speakers
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Prof. Tomoki Fukai Lab for Neural Circuit Theory, RIKEN Brain Science Institute Talk Title: Fat tail dynamics in the brain Part -1 : network dynamics Part -2 : synaptic plasticity |
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Prof. Nikola Kasabov Director Knowledge Engineeing and Discovery Research Institute, Auckland University of Technology Talk Title: To be determined |
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Prof. Luping Shi Center for Brain-Inspired Computing Research (CBICR), Tsinghua University, China Talk Title:Development of a Brain Inspired Computing System |
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Prof. Jörg Conradt Center of Competence on NeuroEngineering, Department of Electric and Computer Engineering, Technische Universität München Talk Title: Neuromorphic Vision Sensors and Event-based Information Processing for Robotics |
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Dr. Huajin Tang Institute for Infocomm Research, A*STAR, Singapore College of Computer Science, Sichuan University, Chengdu, China Talk Title: Learning in Neuromorphic Systems and Cognitive Robots |
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Prof. Yiran Chen Electrical and Computer Engineering, University of Pittsburgh Talk Title: Brain-Inspired Computing: The Extraordinary Voyages in Known and Unknown Worlds |
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Dr. Travis DeWolf Systems Design Engineering, University of Waterloo Talk Title: Neural modeling using the NEF and Nengo |
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Cristian Axenie Research assistant in the Neuroscientific System Theory Group at the Technische Universität München Talk Title: Neuromorphic Vision Sensors and Event-based Information Processing for Robotics |
Tentative Schedule
Location
Meeting room 211, Shaw Science Hall, Yuquan Campus, Zhejiang UniversityOrganizers
Program Co-chairs:
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Gang Pan
Department of Computer Science, Zhejiang University, Hangzhou, China
E-mail: [email protected]
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Zonghua Gu
Department of Computer Science, Zhejiang University, Hangzhou, China
E-mail: [email protected]
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Yueming Wang
Qiushi Academy for Adavanced Studies, Zhejiang University, Hangzhou, China
E-mail: [email protected]
Advisory Committee:
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Zhaohui Wu
Department of Computer Science, Zhejiang University, Hangzhou, China
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Kay Chen Tan
Dept. of Electrical and Computer Engineering, National University of Singapore
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Huajin Tang
Institute for Infocomm Research, A*STAR, Singapore
College of Computer Science, Sichuan University, Chengdu, China
