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CFPs: IEEE-IS Brain Informatics

From: Jodi Schneider <jodi.schneider@deri.org>
Date: Tue, 30 Nov 2010 21:30:19 +0000
Message-Id: <E3C7A220-3B8A-4CF0-80D3-C3986E372F03@deri.org>
To: HCLS IG <public-semweb-lifesci@w3.org>
Of possible interest. -Jodi

---------- Forwarded message ----------
From: Wic Office <wic-office@wi-consortium.org>
Date: Thu, Nov 25, 2010 at 3:16 PM
Subject: [Dbworld] CFPs: IEEE-IS Brain Informatics
To: dbworld@cs.wisc.edu

IEEE Intelligent Systems Call for Papers
Special Issue on Brain Informatics

Publication: September/October 2011
Submissions due for review: 24 February 2011

Brain informatics (BI) is an emerging interdisciplinary and
multidisciplinary research field that focuses on studying the
mechanisms underlying the human information processing system (HIPS).
BI investigates the essential functions of the brain, ranging from
perception to thinking, and encompassing such areas as
multiperception, attention, memory, language, computation, heuristic
search, reasoning, planning, decision-making, problem-solving,
learning, discovery, and creativity. One goal of BI research is to
develop and demonstrate a systematic approach to an integrated
understanding of macroscopic- and microscopic-level working principles
of the brain via experimental, computational, and cognitive
neuroscience studies as well as using advanced Web intelligence
centric information technologies. Another goal is to promote new forms
of collaborative and interdisciplinary work. New kinds of BI methods
and global research communities will emerge through infrastructure on
the semantic/wisdom Web, knowledge grids, and cloud computing. This
new infrastructure will enable high-speed, distributed, large-scale
analysis and computation and radically new ways of data/knowledge

This special issue will present some of the best work being done
worldwide to deal with the new challenges of brain informatics,
especially from intelligent systems perspectives. Submissions covering
the following areas are welcome:

- Human brain data collection, preprocessing, management, and analysis
- Brain data modeling and formal conceptual models of human brain data
- Multimedia brain data mining and reasoning
- Multiaspect analysis in functional magnetic resonance imagery,
 electroencephalography, and magneto-encephalography (fMRI/EEG/MEG) activations
- Developing brain data grids and brain research support portals
- Multimodal information fusion for brain image interpretation
- Statistical analysis and pattern recognition in neuroimaging
- Cognitive architectures and their relations to fMRI/EEG/MEG
- HIPS meets complex systems
- The cyber-individual meets BI
- Eye-tracking meets fMRI/EEG for human-computer interaction and brain-computer
- Modeling brain information-processing mechanisms
- Neuroeconomics, neuromarketing, and neurolinguistics
- New cognitive and computational models for intelligent systems

Submission Guidelines

Submissions should be 3,000 to 5,400 words (counting a standard figure
or table as 200 words) and should follow IEEE Intelligent Systems
style and presentation guidelines
(computer.org/intelligent/author.htm). Submit all manuscripts online
at https://mc.manuscriptcentral.com/is-cs.

We strongly encourage submissions that include real-world social
media, data, and community content. Selected live social-media content
and sites will be featured on the IEEE Computer Society Web site along
with the accepted papers.


For more information, contact the guest editors:

Ning Zhong, Maebashi Institute of Technology and the International WIC
Institute (Beijing University of Technology);

Jeffrey M. Bradshaw, Florida Institute for Human and Machine
Cognition; jbradshaw(at)ihmc.us

Jiming Liu, Hong Kong Baptist University and the International WIC
Institute (Beijing University of Technology);

John G. Taylor, King’s College London; john.g.taylor(at)kcl.ac.uk

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Received on Tuesday, 30 November 2010 21:30:57 UTC

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