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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3872

Title: DYNAMICS OF HIGHLY DILUTED NETWORKS OF CONTINUOUS NEURONS
Authors: JEDRZEJEWSKI, J
KOMODA, A
Issue Date: 1992
Publisher: EDITIONS PHYSIQUE
Citation: EUROPHYSICS LETTERS, 18(3). p. 275-281
Abstract: We study the dynamics of the maximally stable network of analog neurons with a parallel update rule. For this type of network we determine the size of the basins of attraction and the effect of random destruction of synapses on the size of the basins of attraction and the attractor overlap. We present analytical and numerical results showing the significant increase of the wide retrieval regime in comparison with binary networks. On the other hand, we find that, in contradistinction to binary networks, our analog network fails to perform as an autoassociative memory if the percentage of cancelled synapses is larger than a certain critical value.
Notes: LIMBURGS UNIV CENTRUM,B-3590 DIEPENBEEK,BELGIUM.JEDRZEJEWSKI, J, WROCLAW UNIV,INST THEORET PHYS,CYBULSKIEGO 36,PL-50205 WROCLAW,POLAND.
URI: http://hdl.handle.net/1942/3872
ISI #: A1992HH05800015
ISSN: 0295-5075
Type: Journal Contribution
Appears in Collections: Non-affiliated authors

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