Inhomogeneities in Heteroassociative Memories with Linear Learning Rules

DOI10.1162/neco.2007.08-06-301zbMath1140.68448OpenAlexW2161496668WikidataQ51624390 ScholiaQ51624390MaRDI QIDQ5446236

D. J. Willshaw, David C. Sterratt

Publication date: 6 March 2008

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

Full work available at URL: http://www.mitpressjournals.org/doi/abs/10.1162/neco.2007.08-06-301

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Efficient Associative Computation with Discrete Synapses ⋮ Neural Associative Memory with Optimal Bayesian Learning

Cites Work

• Optimising synaptic learning rules in linear associative memories
• A simple neural network generating an interactive memory
• Effective Neuronal Learning with Ineffective Hebbian Learning Rules
• Capacity and information efficiency of the associative net
• Learning Classification in the Olfactory System of Insects
• Neural networks and physical systems with emergent collective computational abilities.
• Correlation Matrix Memories

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