IJCNN-09
Spiking Neural Networks (SNN)
Spiking Neural Networks (SNN) are a rapidly emerging
means of neural information processing, drawing inspiration from the brain
processes. They have the potential to advance technologies and techniques in
fields as diverse as medicine, finance, computing, and indeed any field that
involves complex temporal or spatiotemporal data. SNN, as the third generation
of neural networks, can operate on noisy data, in changing environments at low
power and with high effectiveness. Due to their basis in biological neural
networks, SNN research is strongly positioned to benefit from advances made in
the fields of molecular, evolutionary and cognitive neuroscience. There is
presently considerable interest in this topic. We believe that this area is
quickly establishing itself as an effective alternative to traditional machine
learning technologies, and the interest in this area of research is growing
rapidly.
Scope
and Topics
The aim of this special session is to bring together
research works of contemporary areas of SNN, including theoretical,
computational, application-oriented, experimental studies, and emerging
technologies such as neuromorphic hardware. This special session invites
researchers to present state-of-the-art approaches, recent advances and the
potential of SNN.
The topics relevant to this special session include,
but are not limited to, the following:
- Theory
of SNN
- Learning
algorithms for SNN, including Deep Learning
- Computation
with and within SNN
- Theory
or practice in biologically-plausible neural simulation or biomimetic
models
- Big
data and stream data processing in SNN
- Multiple
sensor networks data processing in SNN
- Neuromorphic
hardware systems and applications
- Optimization
of SNN
- SNN
models of cognitive development
- Information
encoding for SNN
- SNN
applications in neuroinformatics, bioinformatics, medicine and ecology.
- SNN
in BCI
- SNN
in neuro-robotic
- Any
other topics relating to SNN, their theory, or applications.
Important dates:
Paper Submission Deadline:
January 15, 2018
Paper acceptance notification
date: March 15, 2018
Final paper submission deadline:
May 1, 2018
Conference: July 08-13,
2018
Submission Guidelines
Please follow
the regular submission guidelines of WCCI 2018. Please notify the chairs of
your submission by sending an email to:
Professor Nikola
Kasabov (nkasabov@aut.ac.nz), Dr Elisa Capecci (ecapecci@aut.ac.nz), Maryam Doborjeh (mgholami@aut.ac.nz).
SNN Special Session page:
WCCI 2018 Special Session On
Spiking Neural Networks (SNN)
Conference page: http://www.ecomp.poli.br/~wcci2018/
Best Regards,
On behalf of the organizers
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