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Автор W Whyte
Автор D Sherrington
Автор A C C Coolen
Дата выпуска 1995-06-21
dc.description We investigate the effects on a network that stores a sequence of patterns without time delays of introducing patterns that are correlated in a way that depends only on their separation from each other in the sequence. We demonstrate that with a carefully chosen form for the synaptic matrix, the introduction of these correlations can, under certain circumstances, aid the recall of the individual patterns while still preserving the limit-cycle behaviour of the net.
Формат application.pdf
Издатель Institute of Physics Publishing
Название Competition between pattern recall and sequence processing in a neural network storing correlated patterns
Тип paper
DOI 10.1088/0305-4470/28/12/016
Print ISSN 0305-4470
Журнал Journal of Physics A: Mathematical and General
Том 28
Первая страница 3421
Последняя страница 3437
Аффилиация W Whyte; Dept. of Phys., Oxford Univ., UK
Аффилиация D Sherrington; Dept. of Phys., Oxford Univ., UK
Аффилиация A C C Coolen; Dept. of Phys., Oxford Univ., UK
Выпуск 12

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