[Comp-neuro] CFP: Computationally Intelligent Methods for CNS Research & Its Disorders

Mufti Mahmud muftimahmud at gmail.com
Wed Sep 12 01:33:41 CEST 2012

Dear Colleagues,

Apologies for cross posting for the CFP.

Call for Papers: Special Session at 2013 IEEE Symposium on
Computational Intelligence in healthcare and e-health (IEEE CICARE

Computationally Intelligent Methods for CNS Research & Its Disorders

Organizers: Mufti Mahmud §, Gábor Szirtes ¨, Amir Hussain ª

§ NeuroChip Laboratory, University of Padova, 35131 – Padova, Italy &
Institute of Information Technology, Jahangirnagar University, 1342 –
Dhaka, Bangladesh
Email: mahmud at dei.unipd.it; muftimahmud at juniv.edu
¨ Dept. of Software Technology and Methodology, Eötvös Loránd
University, Budapest, Hungary &
Center for Integrative Neuroscience, University of Tübingen, Tübingen, Germany
Email: szirtes at inf.elte.hu; gabor.szirtes at cin.uni-tuebingen.de
ª Centre for Cognitive & Computational Neuroscience, University of
Stirling, Stirling FK9 4LA, UK
Email: ahu at ahu@cs.stir.ac.uk

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 researching the central
nervous system and its associated disorders with a special emphasis to
provide health care to improve quality of life. There has been a
significance increase in research activities in these areas in diverse
specialties including neuroengineering, computer, electrical and
biomedical engineering with a goal to provide a better life to
patients with CNS disease. 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 health
care based on CNS related diseases using expert and computationally
intelligent systems.

This session is expected to attract recent research reports on the
following topics:

·         Computationally intelligent methods for neuroscience
applications to provide health care
·         Neural systems engineering and technology for to provide
better quality of life
·         Brain computer interface and neural pathway research for health care
·         Neural signal processing and modeling for providing health care
·         Biologically inspired methods for neuronal network analysis
for CNS disorders
·         Machine learning methods in application to brain research
for health care
·         Measurement methods with application to cognition research
for health care
·         Decision Support Systems for CNS disorders
·         Therapeutic systems and technologies for CNS research
·         Design and development methodologies for Healthcare IT for
CNS research
·         Software systems in neuroscience and CNS research for
improved quality of life

• October 10th, 2012: Due date for Special Session papers
• January 5th, 2013: Notification of paper acceptance to authors
• February 5th, 2013: Camera-ready of accepted papers
• February 5th, 2013: Early registration

Paper Submission
Please submit your paper via the IEEE SSCI 2013 on-line submission
link accessed from:

Mufti Mahmud, PhD
Postdoctoral Fellow
NeuroChip Laboratory
University of Padova
via f. Marzolo 3
35131 - Padova, Italy.
Lab: +39 049 827 5308
Fax: +39 049 827 5301
Assistant Professor (on leave)
Institute of Information Technology
Jahangirnagar University
Savar, 1342 - Dhaka, Bangladesh.


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