Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/3712
Title: BASIN OF ATTRACTION IN NETWORKS OF MULTISTATE NEURONS
Authors: BOUTEN, Marcus 
ENGEL, A
Issue Date: 1993
Publisher: AMERICAN PHYSICAL SOC
Source: PHYSICAL REVIEW E, 47(2). p. 1397-1400
Abstract: The retrieval dynamics of an extremely diluted network of three-state neurons designed by the projection rule is investigated. Depending on the parameters of the model four different fixed points with different stability can exist. Only one of them corresponds to full retrieval. It is discussed how the parameters of the model must be chosen in order to get perfect retrieval and large basins of attraction. Finally it is shown that a network of three-state neurons storing binary patterns has better retrieval properties than a network of binary neurons storing the same patterns.
Notes: UNIV GOTTINGEN,INST THEORET PHYS,W-3400 GOTTINGEN,GERMANY.BOUTEN, M, LIMBURGS UNIV CENTRUM,B-3590 DIEPENBEEK,BELGIUM.
Document URI: http://hdl.handle.net/1942/3712
ISI #: A1993KY13600076
Type: Journal Contribution
Appears in Collections:Research publications

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