Neural associative memory for brain modeling and information retrieval

DOI10.1016/j.ipl.2005.05.021zbMath1184.68224OpenAlexW2003952197MaRDI QIDQ1044686

Andreas Knoblauch

Publication date: 18 December 2009

Published in: Information Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ipl.2005.05.021

zbMATH Keywords

algorithmsinformation retrievalfault toleranceneural modelingspiking associative memory

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Information storage and retrieval of data (68P20) Reliability, testing and fault tolerance of networks and computer systems (68M15)

Related Items (6)

Iterative Retrieval and Block Coding in Autoassociative and Heteroassociative Memory ⋮ Efficient Associative Computation with Discrete Synapses ⋮ Multiassociative Memory: Recurrent Synapses Increase Storage Capacity ⋮ Integer sparse distributed memory: analysis and results ⋮ Neural Associative Memory with Optimal Bayesian Learning ⋮ Memory Capacities for Synaptic and Structural Plasticity

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• Die Lernmatrix
• Neural networks and physical systems with emergent collective computational abilities.
• A Method for the Construction of Minimum-Redundancy Codes
• Run-length encodings (Corresp.)

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