Connectionists: CFP: IEEE Symposium on Neuromorphic Cognitive Computing 2017

[Huajin Tang]

IEEE SNCC 2017

IEEE Symposium on Neuromorphic Cognitive Computing

27th Nov - 1st Dec 2017 Honolulu, Hawaii, USA





*Call for Papers:*


The 2017 IEEE Symposium on Neuromorphic Cognitive Computing (SNCC’17) will
be a part of the 2017 IEEE Symposium Series on Computational Intelligence
(SSCI 2017). The SNCC’17 will provide an important platform for the
researchers to exchange the ideas and to bring new theoretical and
technical advances in neuromorphic cognitive computing, and in turn to
benefit highly demanded application areas across neuromorphic engineering,
neuromorphic circuits design, machine learning, BCI, cyborg intelligence,
cognitive robotics, etc. The website: *www.ele.uri.edu/ieee-ssci2017/SNCC.htm
<http://www.ele.uri.edu/ieee-ssci2017/SNCC.htm>.*


*Call for Special Session Proposals:*


Researchers interested in organizing special sessions at SNCC’17 are
invited to submit your proposals to SNCC chairs as early as possible.


*Publications:*

Accepted papers after peer-review will be published in the IEEE SSCI
conference proceedings.


*Important Dates:             *

Special Session Proposals:               April 2, 2017

Paper Submissions:                            July 2, 2017

Notification to Authors:               August 27, 2017

Final Submission:                  September 24, 2017

Early Registration:                September 24, 2017



*Topics: *

The topics include, but are not limited to:

·         Neuromorphic computing

·         Cognitive computing models

·         Spiking neural networks (SNNs)

·         Supervised and unsupervised learning

·         STDP and spike-timing based learning

·         Neuromorphic visual and auditory processing

·         Brain-inspired data representation

·         Neural coding

·         Sparse coding and compressive sensing

·         Event based processing

·         Deep learning for SNNs

·         Neuromorphic systems for machine learning

·         Spatiotemporal Spike Pattern Analysis

·         Brain inspired model for sound, vision and speech

·         Hardware implementation of SNNs

·         FPGA or GPU accelerator for SNNs

·         Neuromorphic sensors and devices

·         Neuromorphic neurons and synapses

·         Neuromorphic chips/hardware platforms

·         SNN applications in machine learning

·         SNN applications in BCI and brain data analysis

·         Cyborg intelligence

·         Cognitive robotics



*SNCC’17 Chairs:*

Prof. Huajin Tang, Sichuan University, China  htang at scu.edu.cn

Prof. Jeff Krichmar, University of California at Irvine, USA
jkrichma at uci.edu

Prof. Tiejun Huang, Peking University, China  tjhuang at pku.edu.cn

Dr. Garrick Orchard, National University of Singapore
garrickorchard at nus.edu.sg
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