Connectionists: CFP : Special Issue on "Artificial Brain and Emotion and Learning" for Neural Information Processing-Letters and Reviews (NIP-LR)

[Min Ho Lee]

CALL FOR PAPERS
 
Special Issue on "Artificial Brain and Emotion and Learning" for Neural
Information Processing-Letters and Reviews (NIP-LR)
 
 
As announced earlier at the International Symposium on Artificial Brain with
Emotion Learning (ISABEL2006; Seoul, Korea),
Neural Information Processing-Letters and Reviews (NIP-LR) is preparing a
special issue on "Artificial Brain with Emotion and Learning."
 
Although artificial neural networks are based on information processing
mechanisms in our brain, there still exists a big gap between the biological
neural networks and artificial neural networks. The more intelligence we
would like to incorporate into artificial intelligent systems, the more
biologically-inspired models and hardware are required. Fortunately the
cognitive neuroscience has been developed enormously during the last decade,
and engineers now have more to learn from the science.
In this special issue, we invite contributions on artificial brain with
emotion and learning with more human-like traits for real world
applications.
 
The suggested topics include, but are not limited to:
 
Models of auditory pathway
Models of visual pathway
Models of cognition, learning, and inference
Models of attention, emotion, and consciousness
Models of autonomous behavior
Hardware implementation of bio-inspired models
Engineering applications of bio-inspired models
 
For more information on the special issue for NIP-LR see: 
http://www.nip-lr.info
 
Submission instruction: Papers should be emailed as a PDF attachment to 
Rhee Man Kil rmkil at kaist.ac.kr
and Minho Lee mholee at knu.ac.kr, the guest editors.
 
 
Important dates:
December 15, 2006: Submission Deadline
January  15, 2007: Deadline for the Reviews
January  30, 2007: Notification of Acceptance/Rejection.
February 15, 2007: Publication for the special issue
 
Copyright: Authors will maintain all rights to their papers, and may
subsequently publish extended versions of their papers in other journals.
 
 
Rhee Man Kil                     
Division of Applied Mathematics
KAIST                 
rmkil at kaist.ac.kr, 82-42-869-2736               
 
Minho Lee
School of EE and CS
Kyungpook National Univeristy, Korea
mholee at knu.ac.kr, 82-53-950-6436
Dept. of Brain and Cognitive Science
MIT, USA
 <mailto:mholee at mit.edu> mholee at mit.edu, 617-324-5340