Hebbian Imprinting and Retrieval in Oscillatory Neural Networks

DOI10.1162/08997660260293265zbMath1003.92009arXivcond-mat/0111034OpenAlexW2042537312WikidataQ44191669 ScholiaQ44191669MaRDI QIDQ4781925

Silvia Scarpetta, John Hertz, Li Zhaoping

Publication date: 2 February 2003

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

Full work available at URL: https://arxiv.org/abs/cond-mat/0111034

zbMATH Keywords

learning modeplasticitiesrecall modesynaptic weight constraints

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (4)

Learning of oscillatory correlated patterns in a cortical network by a STDP-based learning rule ⋮ Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity ⋮ Associative memory of phase-coded spatiotemporal patterns in leaky integrate and fire networks ⋮ Computational theories on the function of theta oscillations

Cites Work

• Associative memory and segmentation in an oscillatory neural model of the olfactory bulb
• Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning
• Computational differences between asymmetrical and symmetrical networks
• Odour recognition and segmentation by a model olfactory bulb and cortex

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