A method for storing and retrieving spatio-temporal patterns in large systems of coupled delay differential equations is presented. Spatio-temporal patterns are sets of finite sequences of binary variables of fixed period that are embedded in the network dynamics as stable limit cycles. An input signal converges to the limit cycle that represents it best. A given set of limit cycles is constructed using a generalization of the correlation learning rule in the definition of the couplings

Networks of Delay Differential Equations and Associative Memories

1996

Abstract

A method for storing and retrieving spatio-temporal patterns in large systems of coupled delay differential equations is presented. Spatio-temporal patterns are sets of finite sequences of binary variables of fixed period that are embedded in the network dynamics as stable limit cycles. An input signal converges to the limit cycle that represents it best. A given set of limit cycles is constructed using a generalization of the correlation learning rule in the definition of the couplings
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/1206
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