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IEEE CIS Summer School On Neuromorphic and Cyborg Intelligent Systems
Time: 2015-08-18  Browse: 497

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


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


Prof. Nikola Kasabov
Director Knowledge Engineeing and Discovery Research Institute, Auckland University of Technology
Talk Title: To be determined


Prof. Luping Shi
Center for Brain-Inspired Computing Research (CBICR), Tsinghua University, China
Talk Title:Development of a Brain Inspired Computing System


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


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


Prof. Yiran Chen
Electrical and Computer Engineering, University of Pittsburgh
Talk Title: Brain-Inspired Computing: The Extraordinary Voyages in Known and Unknown Worlds


Dr. Travis DeWolf
Systems Design Engineering, University of Waterloo
Talk Title: Neural modeling using the NEF and Nengo


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 University

Organizers

Program Co-chairs:

  • Gang Pan
    Department of Computer Science, Zhejiang University, Hangzhou, China
    E-mail: gpan@zju.edu.cn
  • Zonghua Gu
    Department of Computer Science, Zhejiang University, Hangzhou, China
    E-mail: zonghua@gmail.com
  • Yueming Wang
    Qiushi Academy for Adavanced Studies, Zhejiang University, Hangzhou, China
    E-mail: ymingwang@zju.edu.cn

Advisory Committee:

  • Zhaohui Wu
    Department of Computer Science, Zhejiang University, Hangzhou, China
  • Kay Chen Tan
    Dept. of Electrical and Computer Engineering, National University of Singapore
  • Huajin Tang
    Institute for Infocomm Research, A*STAR, Singapore
    College of Computer Science, Sichuan University, Chengdu, China

Sponsors