YASUI Syozo

J-GLOBAL         Last updated: Jan 18, 2008 at 00:00
 
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Name
YASUI Syozo
Affiliation
Former Institution /Organization Graduate School of Life Science and Systems Engineering Department of Brain Science and Engineering
Job title
Professor
Degree
Ph. D.(MIT)

Research Areas

 
 

Academic & Professional Experience

 
1965
 - 
1967
Massachusetts Institute of Technology, Research Assistant
 
1973
 - 
1976
California Institute of Technology, Postdoctoral Fellow
 
1976
 - 
1979
Texas University, Assistant Professor
 
1979
 - 
1988
National Institute for Basic Biology, Associate Professor
 
1988
 - 
2001
Kyushu Institute of Technology, Faculty of Computer Science and Systems Engineering, Professor
 

Education

 
 
 - 
1973
Massachusetts Institute of Technology
 
 
 - 
1963
Faculty of Engineering, The University of Tokyo
 

Committee Memberships

 
2003
   
 
Japanese Neural Network Society  President
 

Awards & Honors

 
1998
Best Paper Award (Japan Neural Network Society)
 
1967
NASA Brief Award
 

Misc

 
Proc. of 9th International Conference on Neural Information Processing   3 1393-1397   2002
Blind source separation by sensor-signal identity mapping with hidden-layer pruning
Proc. of 2002 International Joint Conference on Neural Networks   2 1305-1309   2002
Blind source separation by auto-encoder neural network with structure pruning
Proc. of International Invitational Workshop on Intelligent Interface Devices   55-58    2002

Books etc

 
Pruning, selective binding and emergence of internal models: Applications to ICA and analogical reasoning
Soft Computing for Information Processing and Analysis (Studies in Fuzziness and Soft Computing), Eds. M. Nikravesh, L.A. Zadeh, J. Kacprzyk   2004   

Association Memberships

 
 

Works

 
A study on synaptic mechanisms in the retinal neural network
1994 - 1996
Synaptic plasticity of retinal neurons
1993
Joint study on neural in formation precessing in the retina
1991 - 1992

Research Grants & Projects

 
Study on synaptic plasticity mechanisms in the vertabrate retina
Development of structural learning algorithms in multi-task neural networks
Connectionist learning by analogy