Organized byMufti Mahmud
IntroductionThe brain, being the most complex organ in human body, 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 better 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. Needless to say that most of these studies are results of interdisciplinary research involving medical sciences, life sciences, physical sciences, engineering, and cognitive sciences.
ScopeThe focus of this special session is to address the recent advances in computationally intelligent techniques in processing neural information. Developing intelligent methods capable of deciphering brain’s information processing capability is one the biggest challenges in brain research. 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 methods in processing neural signals. The targeted research topics are, but not limited to, the following:
- Computationally intelligent tools for analysis of Spikes, LFP, EEG, MEG, MRI/fMRI, PET, and fNIRS;
- Computationally intelligent methods for modeling and estimating neural signals;
- Computational intelligence in developing smart BMI and neural prosthesis;
- Biologically inspired methods for pattern analysis in neuronal signals;
- Machine learning methods applied to brain research;
Submission of papersSubmit IEEE US Letter compliant pdf papers to IEEE CEC 2016, following the steps below:
- Provide paper details (i.e., Paper Title, Author(s), PDF file to upload, Abstract, Preferred form of presentation, Main paper focus)
- At 'Main research topic' or 'Additional research topics', select '8bc. Computationally Intelligent Methods in Neural Information Processing' from the dropdown list.
Important datesPaper submission deadline: 15 January 2016
Decision notification: 15 March 2016
Final paper submission and early registration deadline: 15 April 2016
Conference dates: 25-29 July 2016