We present a neural network model of semantic memory in which features are coded by neurons of the Hindmarch-Rose type in the chaotic regime. We justify the choice of our basic approach on the basis of psychological and neuropsychological evidence and discuss the computational limits of the retrieval mechanism in the model.

Associative memory dynamics in a chaotic neural network: simultaneous retrieval of overlapping patterns / A. MORELLI; R. LAURO GROTTO; F. ARECCHI. - ELETTRONICO. - (2005), pp. 189-196.

Associative memory dynamics in a chaotic neural network: simultaneous retrieval of overlapping patterns.

LAURO GROTTO, ROSAPIA;ARECCHI, FORTUNATO TITO
2005

Abstract

We present a neural network model of semantic memory in which features are coded by neurons of the Hindmarch-Rose type in the chaotic regime. We justify the choice of our basic approach on the basis of psychological and neuropsychological evidence and discuss the computational limits of the retrieval mechanism in the model.
2005
9788874881093
Industry days 2003-2004
189
196
A. MORELLI; R. LAURO GROTTO; F. ARECCHI
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/21535
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