Fast analog computation with unreliable synapses

[Thomas Natschlaeger]

Announcement of a new paper by Wolfgang Maass and Thomas Natschlaeger: 
 
  "A model for fast analog computation based on unreliable synapses"
 
   Neural Computation, 1999. in press.
 
Abstract: We investigate through theoretical analysis and computer simulations
the consequences of unreliable synapses for fast analog computations in networks
of spiking neurons, with analog variables encoded by the current firing
activities of pools of spiking neurons. Our results suggest that the known
unreliability of synaptic transmission may be viewed as a useful tool for analog
computing, rather than as a ``bug'' in neuronal hardware. We also investigate
computations on time series and Hebbian learning in this context of space-rate
coding.
 
This paper is available as gzipped postscript file (26 pages, 211Kb) from

http://www.cis.tu-graz.ac.at/igi/maass/#Publications (see #102)
or
http://www.cis.tu-graz.ac.at/igi/tnatschl/Publications.html
 
Sincerely

  Thomas Natschlaeger

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**                                                     **
**  Thomas Natschlaeger                                **
**  Institute for Theoretical Computer Science         **
**  Technische Universitaet Graz                       **
**  Klosterwiesgasse 32/2                              **
**  A - 8010 Graz, Austria                             **
**  email: tnatschl at igi.tu-graz.ac.at                  **
**  www:   http://www.cis.tu-graz.ac.at/igi/tnatschl/  **
**  Tel:   ++43 316 873 5814                           ** 
**  Fax:   ++43 316 873 5805                           **                         
**                                                     **
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