Connectionists: CFP: IEEE WCCI 2016 Workshop on Neuromorphic Computing and Cyborg Intelligence

[Huajin Tang]

2016 IEEE World Congress on Computational IntelligenceJuly 25-29, 2016 -
Vancouver, CanadaInternational Workshop onNeuromorphic Computing and Cyborg
Intelligence
Overview

Emulating brain-like learning performance has been a key challenge for
research in neural networks and learning systems, including recognition,
memory and perception. In the last few decades, a wealth of machine
learning approaches have been proposed including sparse representations,
hierarchical and deep learning neural networks. While achieving impressive
performance these methods still compare poorly to biological systems and
the problem of reducing the amount of human supervision and computations
needed for learning remains a challenge.

On the other hand, the development of novel data representation and
learning approaches from recent advances in neuromorphic systems have shown
appealing computational advantages. For example, using neural coding theory
to represent the external sensory data, and developing spiking timing based
learning algorithm have achieved real-time learning performance, either in
neuromorphic computational models or hardware systems. Attributed to the
new visual or auditory sensors, neuromorphic hardware has provided a
fundamentally different technique for data representation, i.e.,
asynchronous events rather than frames of images as in main stream
recognition algorithms. However, the current neuromorphic information
processing algorithms are not comparable to achieve sophisticated features
and power learning performance as what machine learning approaches can
offer. One promising method is to develop integrated learning models that
apply brain-like data presentation and learning mechanisms, e.g.,
implementing deep learning in neuromorphic systems. Neuromorphic systems
also overlap with another framework called cyborg intelligence, combining
brain functions with computational machines to achieve the best of both via
brain-machine interface. The workshop will target the challenging problems
in these areas by reporting new solutions, theoretical and technical
advances in neuromorphic computing and cyborg intelligence from the
worldwide researchers and engineers.
Technical Program Committee

Tetsuya Asai, Hokkaido University, Japan
Ryad Benosman, University of Pierre and Marie Curie, France
Badong Chen, Xi’an Jiao Tong University, China
Feng Chen, Tsinghua University, China
Jörg Conradt, Technische Universität München, Germany
Shoushun Chen, Nanyang Technolological University, Singapore
Yiran Chen, University of Pittsburgh, USA
Tomoki Fukai, RIKEN Brain Science Institute, Japan
Jun Hu, Institute for Infocomm Research, Singapore
Giacomo Indiveri, Institute of Neuroinformatics, Switzerland
Sio-Hoi Ieng, University of Pierre and Marie Curie, France
Shih-Chii Liu, Institute of Neuroinformatics, Switzerland
Garrick Orchard, National University of Singapore, Singapore
Tarek M. Taha, University of Dayton, USA
Jun Tani, KAIST, Korea
Yiwen Wang, Zhejiang University, China
Si Wu, Beijing Normal University, China
Qiang Yu, Max-Planck-Institute for Experimental Medicine, Germany
Bo Zhao, Institute for Infocomm Research, Singapore
Relevant Topics

Cognitive computing and cyborg intelligence
Neuromorphic information/signal processing
Brain-inspired data representation models
Neuromorphic learning and cognitive systems
Spike-based sensing and learning
Neuromorphic sensors and hardware systems
Intelligence for embedded systems
Cognition mechanisms for big data
Embodied cognition and neuro-robotics
Important Dates

Submission deadline: 15 January 2016
Notification of acceptance: 15 March 2016
Camera-ready deadline: 15 April 2016
Workshop date: 25 July 2016
Submission Guidelines

Prospective authors are invited to submit papers according to the IEEE
format. All submissions should follow the specifications of WCCI 2016.
Manuscripts will be submitted through the IEEE WCCI 2016 paper submission
website and will be subject to the same peer-review procedure as the
WCCI2016 regular papers. Accepted contributions will be part of the IJCNN
conference proceedings, which will be available in IEEE Xplore.

      For more information about the workshops, please visit: http://wcci
2016.org/programs.php?id=workshop?sd=w_ijcnn
Organizers

   - Huajin Tang, Sichuan University, Chengdu, China (htang at scu.edu.cn )
   - Gang Pan, Zhejiang University, China (gpan at zju.edu.cn)
   - Arindam Basu, Nanyang Technological University, Singapore (
   arindam.basu at ntu.edu.sg)
   - Luping Shi, Tsinghua University, China (lpshi at mail.tsinghua.edu.cn)
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