Connectionists: 2nd CFP: 2017 IEEE Symposium on Neuromorphic Cognitive Computing, 27th Nov - 1st Dec 2017 Honolulu, Hawaii, USA

[Huajin Tang]

2017 IEEE Symposium on Neuromorphic Cognitive Computing

(IEEE SNCC 2017)



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







*Call for Papers:*



The 2017 IEEE Symposium on Neuromorphic Cognitive Computing (SNCC 2017)
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, cyborg intelligence,
cognitive robotics, etc. The website: *www.ele.uri.edu/ieee-ssci2017/SNCC.htm
<http://www.ele.uri.edu/ieee-ssci2017/SNCC.htm>.*





*Important Dates:                          *

Deadline of Paper Submissions:       July 16, 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)

·         STDP and spike-timing based learning

·         Neuromorphic visual and auditory processing

·         Brain-inspired data representation

·         Neural coding

·         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 chips/hardware platforms

·         SNN applications in machine learning

·         Cyborg intelligence

·         Cognitive robotics



*Special Sessions:*



·       Design Methods, Tools and Examples for FPGA-Based Acceleration of
Artificial Neural Network.

Organizers: Pengju Ren, and Michel A. Kinsy



·       Learning Methods in Spiking Neural Networks

Organizers: Hong Qu, Yongqing Zhang and Malu Zhang.



*Publications:*

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



*SNCC 2017 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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