Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II: Input selectivity-symmetry breaking

DOI10.1007/s00422-009-0320-yzbMath1342.92019OpenAlexW2091983054WikidataQ51819436 ScholiaQ51819436MaRDI QIDQ843254

Anthony N. Burkitt, David B. Grayden, Matthieu Gilson, J. Leo van Hemmen, 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/s00422-009-0320-y

zbMATH Keywords

learningsymmetry breakingrecurrent 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 (4)

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. I: Input selectivity-strengthening correlated input pathways ⋮ 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

Cites Work

• Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I: Input selectivity-strengthening correlated input pathways
• Phenomenological models of synaptic plasticity based on spike timing
• Self-organized formation of topologically correct feature maps
• Self-organization and segmentation in a laterally connected orientation map of spiking neurons
• Spontaneously emerging direction selectivity maps in visual cortex through STDP
• Spike-timing-dependent plasticity for neurons with recurrent connections
• Stable Competitive Dynamics Emerge from Multispike Interactions in a Stochastic Model of Spike-Timing-Dependent Plasticity
• The development of topography in the visual cortex: a review of models
• Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point

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