Paper available

[Dr. Michael Wong]

The following paper, to appear in Europhysics Letters, 
is now available via anonymous FTP. (4 pages)
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FTP-host: physics.ust.hk
FTP-files: pub/kymwong/actdyn.ps.gz

   Improving Pattern Reconstruction in Neural Networks by Activity Dynamics

                           K. Y. Michael Wong
                          Department of Physics, 
            The Hong Kong University of Science and Technology,
                    Clear Water Bay, Kowloon, Hong Kong.
                   E-mail address: phkywong at usthk.ust.hk


                                  ABSTRACT

I study the averaged dynamical behaviour of neural networks over an extended
monitoring period, and consider pattern reconstruction procedures by activity
clipping, selectively freezing, or sequentially freezing the dynamic nodes. 
They enable the retrieval precision to be improved, the basin of attraction to
be widened, or the storage capacity to be increased, even when the information
is not efficiently embedded in the synaptic weights.

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FTP instructions:

unix> ftp physics.ust.hk
Name: anonymous
Password: your full email address
ftp> cd pub/kymwong
ftp> get actdyn.ps.gz
ftp> quit
unix> gunzip actdyn.ps.gz
unix> lpr actdyn.ps (or ghostview actdyn.ps)