Connectionists: Neural Networks: Special Issue 2009 "Brain Machine Interface" Call for Papers

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CALL FOR PAPERS
2009 Special Issue of Neural Networks
"Brain Machine Interface"
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Recent developments of interfaces that enable a direct communication  
between the brain and machine are expected to extend the applicability  
of systems neuroscience and will foster a variety of innovative  
advances in neuro-technology.  Brain Machine Interfaces (BMI), or  
Brain Computer Interfaces (BCI) will allow humans to operate  
computers, robotic arms, wheelchairs, prosthetic devices and other  
instruments by using only the signals of their brain.  This neuro- 
technology may help severely disabled but cognitively intact patients  
to communicate and interact with outside world.  At the same time,  
this technology will lead to innovative modalities of interaction for  
the healthy.  Developing new algorithms to decode the cognitive  
signals from the individual brain signals and learning how the brain  
adapts to novel environments when interacting directly with the  
computer will also lead to better understanding of the brain.  Thus,  
in the near future BMI/BCI research will bring about major advances in  
brain science and information technology.
BMI/BCI research is multidisciplinary in nature.  This work is firmly  
based in the basic and computational neurosciences, disciplines like  
signal processing, machine learning, robotics, rehabilitation  
engineering, electrode hardware engineering and ethics play a pivotal  
role in the advancement of this young field. The interest in this  
field of research has grown tremendously during the last decade. Thus,  
publishing a special issue to integrate multidisciplinary studies on  
BMI is very timely for catalyzing further development in this active  
field of research.
This Special Issue will focus on recent advances in the studies of BMI/ 
BCI, and will incorporate papers from broad range of disciplines e.g.  
invasive and noninvasive BMI/BCI, techniques for decoding brain- 
derived signals, neuroethics and applications of neuro-technology.

Co-Editors:
Tadashi Isa
Eberhard E. Fetz
Klaus-Robert Müller

Submission:
Please access our on-line submission system
http://ees.elsevier.com/neunet/

Deadline for submission: September 30, 2008
Notification of final acceptance: May 15, 2009
Deadline for submission of final papers: June 15, 2009
Format: as normal papers in the journal

Contact:
Neural Networks Okinawa Office
e-mail: nneo at oist.jp

Neural Networks Official Homepage:
http://www.elsevier.com/wps/find/journaldescription.cws_home/841/description


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Neural Networks Editorial Office
12-22 Suzaki, Uruma, Okinawa, 904-2234, Japan
Phone: +81-98-921-3933; Fax: +81-98-921-3873
Email: nneo at oist.jp
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