Paper available: Robust, `Topological' Codes ...

[Michael Haft]

The following paper recently appeared in Phys. Rev. Letters 
(Vol.81, Nr.18, Nov. 1998, 4016-4019): 


      Robust, `Topological' Codes by Keeping 
         Control of Internal Redundancy

                   M. Haft

  Processing information under noisy conditions demands 
  to find a tradeoff between coding a variety of different 
  information and robust, {\em redundant} coding of important 
  information. We illustrate this information theoretic demand 
  by some simple considerations. Following this, we set up 
  information theoretic plausible learning rules for a 
  selforganizing network. Thereby, internal {\em redundancy} is 
  controlled via anti-Hebbian learning based on an internal 
  topology with a given correlation function. For finite 
  correlation length and thus a finite amount of redundancy 
  the emergence of a map-like representation of sensory 
  information is shown to be the consequence. 


The original manuscript is available from 
ftp://flop.informatik.tu-muenchen.de/pub/hofmannr/topoCodes.ps.gz


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   Dr. Michael Haft  Siemens AG, ZT IK 4
                     Otto-Hahn-Ring 6, 81730 Muenchen
              Tel.:  +49/89/636-47953
              Fax.:  +49/89/636-49767
             email:  Michael.Haft at mchp.siemens.de
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