Spike-timing-dependent plasticity for neurons with recurrent connections

DOI10.1007/s00422-007-0148-2zbMath1122.92002OpenAlexW2165334996WikidataQ51917953 ScholiaQ51917953MaRDI QIDQ2459161

J. Leo van Hemmen, Matthieu Gilson, Anthony N. Burkitt

Publication date: 5 November 2007

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

Full work available at URL: https://doi.org/10.1007/s00422-007-0148-2

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Signal detection and filtering (aspects of stochastic processes) (60G35)

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. I: Input selectivity-strengthening correlated input pathways ⋮ 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 ⋮ A Calcium-Based Simple Model of Multiple Spike Interactions in Spike-Timing-Dependent Plasticity ⋮ Phenomenological models of synaptic plasticity based on spike timing ⋮ Multiscale analysis of slow-fast neuronal learning models with noise

Cites Work

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• How synapses in the auditory system wax and wane: theoretical perspectives
• Averaging methods in nonlinear dynamical systems

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