24-25 November 2008, Auckland, NZ
associated with ICONIP 2008 (25-28 November 2008)
http://www.inns.org/
http://nnn08.kedri.info/
"Modelling the Brain and Nervous Systems"
General Chair:John Weng
Program Chair: Nikola Kasabov (nkasabov@aut.ac.nz)
Local Organising Chair: Joyce D'Mello (jdmello@aut.ac.nz)
Technical support Chair: Peter Hwang (phwang@aut.ac.nz)
The symposia will provide a forum for researchers to exchange latest new ideas and present new research advances in the general areas related to computational modelling of the brain and nervous systems, including development and learning in animals and artificial systems/robots, computational neurogenetic modelling, and applications of related techniques.
Symposium 1: Development and Learning
Co-Chairs: John Weng and Jeffrey L. Krichmar
Topics: Biologically inspired models, mental architectures, cell models, plasticity, adaptation, self-organization, attention, reasoning, association, vision, audition, touch, motor, development, motivational system, learning modes (including supervised, reinforcement and communicative modes) and applications.
Invited speakers (preliminary list): Mriganka Sur, MIT; Jeffrey L. Krichmar, Neural Science Institute, La Jolla, USA; Steven Levinson, University of Illinois; Mike Merzenich, UCSF; John Weng, Michigan State University.
Symposium 2: Computational Neurogenetic Modelling
Co-Chairs: Lubica Benuskova, Alessandro E. P. Villa, Nikola Kasabov
Topics: The role of genes in brain processes and functions like neural oscillations, language, learning & memory, etc. Genetic and neuronal mechanisms of neurodegenerative diseases. New advances in modelling and theoretical understanding of the brain and the nervous system.
Invited speakers (preliminary list): Gary F. Marcus, University of New York; Alessandro E. P. Villa, University of Lausanne; Cliff Abraham, University of Otago, NZ; Lubica Benuskova, KEDRI/AUT, NZ; Nikola Kasabov, KEDRI/AUT, NZ; Hiroshi Kojima, U.Tamagawa, Japan, Dr. Yaochu Jin, Honda Research Institute Europe.
Please visit its official website at http://nnn08.kedri.info
©2008 Knowledge Engineering and Discovery Research Institute (KEDRI)