Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I: Input selectivity-strengthening correlated input pathways

DOI10.1007/s00422-009-0319-4zbMath1342.92018OpenAlexW2090654022WikidataQ48564714 ScholiaQ48564714MaRDI QIDQ843253

Matthieu Gilson, Anthony N. Burkitt, J. Leo van Hemmen, David B. Grayden, Doreen Anne Thomas

Publication date: 12 October 2009

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-009-0319-4

zbMATH Keywords

learningrecurrent neuronal networkSTDPspike-time correlation

Mathematics Subject Classification ID

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

Related Items (9)

Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks V: self-organization schemes and weight dependence ⋮ Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II: Input selectivity-symmetry breaking ⋮ Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. III: Partially connected neurons driven by spontaneous activity ⋮ Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. IV: Structuring synaptic pathways among recurrent connections ⋮ Equation-free analysis of spike-timing-dependent plasticity ⋮ Frequency Selectivity Emerging from Spike-Timing-Dependent Plasticity ⋮ Propagation of Spiking Moments in Linear Hawkes Networks ⋮ Synchronization of delayed coupled neurons in presence of inhomogeneity ⋮ Computational modelling of memory retention from synapse to behaviour

Cites Work

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