********************************Special Session****************************************

Fuzzy Logic Systems for Brain Analysis and Brain-Computer Interfaces (BCI)

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Session Abstract:
Given the important challenges associated with the processing of brain signals obtained from neuroimaging modalities, fuzzy sets and systems have been proposed as a useful and effective framework for the analysis of brain activity as well as to enable a direct communication pathway between the brain and external devices (brain computer/machine interfaces). While there has been increasing interest in these questions, the contribution of fuzzy logic sets and systems has been diverse depending on the area of application. On the one hand, considering the decoding of brain activity, fuzzy sets and systems represent an excellent tool to overcome the challenge of processing extremely noisy signals that are very likely to be affected by non-stationarities. On the other hand, as regards neuroscience research, fuzziness has equally been employed for the measurement of smooth integration between synapses, neurons, and brain regions or areas. In this context, the proposed special session aims at providing an encounter and specialised forum for researchers interested in employing fuzzy sets, logic and systems for the analysis of brain signals and neuroimaging data, including related disciplines such as computational neuroscience, brain computer/machine interfaces, neuroscience, neuroinformatics, neuroergonomics, affective neuroscience, neurobiology, brain mapping, neuroengineering, and neurotechnology.

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Main topics:
• The topics include but are not limited to:
Application of fuzzy logic, sets and systems for the analysis of brain signals from any functional or structural
neuroimaging modalities (fMRI /MRI, PET/SPECT, EEG, MEG, fNIRS, DOI, EROS, etc.)
• Fuzzy models for the simulation of brain processes in computational
neuroscience.
• Fuzzy brain computer/machine interfaces (BCI/BMI).
• Fuzzy processing of brain microscope imaging.
• Application of fuzzy logic systems to neuropsychology.
• Neuroinformatic tools based on fuzzy Sets, fuzzy logic, and fuzzy Systems.
• Fuzzy hardware architectures for neurotechnology.

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Call for papers:
Deadline for paper submission: February 10, 2017 **EXTENDED**
Notification of acceptance for papers: March 10, 2017
Deadline for camera-ready paper submission: April 8, 2017
Deadline for early registration: April 10, 2017
Conference: July 9-12, 2017

***Lastest news! An expert panel discussion with the authors of the session will be held at the conference.
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Organizers:

Prof. Chin-Teng Lin, School of Software, Director of Computational Intelligence, University of Technology Sidney, Australia. e-mail: chin-teng.lin@uts.edu.au

Dr. Javier Andreu-Perez, The Hamlyn Centre, Institute of Global Health and Innovation,
Imperial College London, United Kingdom. e-mail: javier.andreu@imperial.ac.uk

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For more information please visit:

https://sites.google.com/view/fuzzieeebrain2017/

http://www.fuzzieee2017.org