Connectionists: CFP: 19th ICONIP'2012, Qatar, 12-15 Nov, 2012: Special Session on Computationally Intelligent Techniques in Processing Neural Information

[Dr Amir Hussain]

Dear Colleagues:

Apologies if you receive multiple copies of this message.

In the upcoming premier 19th International Conference on Neural Information
Processing 2012 (ICONIP2012, http://www.iconip2012.org) to be held in
Qatar, from 12-15 November 2012, there will be a special session on
'Computationally Intelligent Techniques in Processing Neural
Information'.

Selected papers from the session will be requested to extend for possible
special issues in Cognitive Computation or Neural Computing and
Applications
or Neurocomputing.

Call for Papers
--------------------

Important dates:

Submission deadline for regular and special session papers: June 1, 2012
Notification of acceptance: August 1, 2012
Camera-ready final paper submission: September 1, 2012

Special Session on:

Computationally Intelligent Techniques in Processing Neural Information

The brain as a part of the central nervous system (CNS) is specialized
to process information simultaneously coming from many different
sources. The neurons work as basic information processing units in the
brain and interconnect to each other to form hierarchical and/or
parallel pathways. These pathways are mainly involved in transforming
information originated from one or more sources into either action (as
in motor movements) or specialized information understood by the brain
itself (as in cognitive functions). To have a detailed and complete
understanding of these biological phenomena two approaches have been
practiced by the research community – experimental and theoretical
studies. Also, some theoretical studies are inspired by the nature
itself which reframes earlier computational techniques to suggest
research on biophysical basis of brain research and its information
processing capabilities.  The focus of this invited session is to
address the recent advances in computationally intelligent techniques
in processing neural information. There has been a significance
increase in research activities in these areas in diverse specialties
including neuroengineering, computer, electrical and biomedical
engineering. Developing computationally intelligent methods capable of
deciphering brain’s information processing capability is one the
biggest
challenges in these fields. The objective of this special session is
to provide updated information and a forum for the scientists and
researchers who are looking for more relevant information in  decoding
brain functions using expert and computationally intelligent systems.

This special session is expected to attract papers on recent research
progress in the area of intelligent computational methods in
processing neural signals. The focus areas include the following (but
are not limited to):

-       Computationally Intelligent Techniques for Neuroscience Applications
-       Neural Systems Engineering and Technology
-       Brain Computer Interface and Neural Pathway
-       Neural Signal Processing and Modeling
-       Biologically Inspired Methods for Neuronal Network Analysis
-       Biologically Inspired Methods for Pattern Analysis in Neuronal
Signals
-       Machine Learning Methods in Application to Brain Research
-       Measurement Methods with Application to Cognition Research

Organizers:

Mufti Mahmud, PhD
NeuroChip Laboratory, University of Padova, 35131 – Padova, Italy &
Institute of Information Technology, Jahangirnagar University, 1342 –
Dhaka, Bangladesh
Email: Mahmud at dei.unipd.it, website: http://www.muftimahmud.co.nr/
and
Amir Hussain, PhD
Cognitive Signal Image Processing & Control Systems Research (COSIPRA) Lab,
Division of Computing Science, School of Natural Sciences,
University of Stirling, Stirling FK9 4LA, UK
Email: ahu at ahu@cs.stir.ac.uk, website: http://www.cs.stir.ac.uk/~ahu/

Looking forward to see you at Qatar.

-- 
The Sunday Times Scottish University of the Year 2009/2010
The University of Stirling is a charity registered in Scotland, 
 number SC 011159.

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