An Autoassociative Neural Network Model of Paired-Associate Learning

DOI10.1162/089976601750399317zbMath0994.68509DBLPjournals/neco/RizzutoK01OpenAlexW2103752162WikidataQ52017884 ScholiaQ52017884MaRDI QIDQ2784809

Daniel S. Rizzuto, Michael J. Kahana

Publication date: 24 April 2002

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976601750399317

zbMATH Keywords

Hebbian heteroassociative learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Modelling constituent order despite symmetric associations in memory ⋮ Associative isolation: Unifying associative and list memory ⋮ A distributed representation of temporal context

Cites Work

• A simple neural network generating an interactive memory
• Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network
• Constraints on learning in dynamic synapses
• Learning internal representations in an attractor neural network with analogue neurons

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