A model of cortical associative memory based on a horizontal network of connected columns

DOI10.1088/0954-898X/9/2/006zbMath0903.92006OpenAlexW4231543040MaRDI QIDQ4211333

Anders Lansner, Erik Fransén

Publication date: 10 January 1999

Full work available at URL: https://doi.org/10.1088/0954-898x/9/2/006

zbMATH Keywords

simulationsscaling modelattractor network modelcortical associative memory

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (9)

Neuronal firing rates account for distractor effects on mnemonic accuracy in a visuo-spatial working memory task ⋮ Towards cortex sized artificial neural systems ⋮ The neural network as a renormalizer of information ⋮ Efficient Associative Computation with Discrete Synapses ⋮ Multiassociative Memory: Recurrent Synapses Increase Storage Capacity ⋮ Neural Associative Memory with Optimal Bayesian Learning ⋮ Memory Capacities for Synaptic and Structural Plasticity ⋮ Imposing Biological Constraints onto an Abstract Neocortical Attractor Network Model ⋮ Receptive Field Self-Organization in a Model of the Fine Structure in V1 Cortical Columns

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