Neural Associative Memory with Optimal Bayesian Learning

DOI10.1162/NECO_a_00127zbMath1216.68216OpenAlexW1990147185WikidataQ51017146 ScholiaQ51017146MaRDI QIDQ3016182

Andreas Knoblauch

Publication date: 14 July 2011

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

Full work available at URL: http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00127

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Applications of statistics (62P99) Mathematical problems of computer architecture (68M07)

Related Items (7)

Binary Willshaw learning yields high synaptic capacity for long-term familiarity memory ⋮ Storing Object-Dependent Sparse Codes in a Willshaw Associative Network ⋮ Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory ⋮ Efficient Associative Computation with Discrete Synapses ⋮ Integer sparse distributed memory: analysis and results ⋮ Neural Associative Memory with Optimal Bayesian Learning ⋮ Neural Relax

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