Computational consequences of experimentally derived spike-time and weight dependent plasticity rules

DOI10.1007/s00422-007-0152-6zbMath1122.92016OpenAlexW1998380171WikidataQ47290310 ScholiaQ47290310MaRDI QIDQ2459137

Dominic Standage, Sajiya Jalil, Thomas Trappenberg

Publication date: 5 November 2007

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

Full work available at URL: https://doi.org/10.1007/s00422-007-0152-6

Mathematics Subject Classification ID

Neural biology (92C20)

Related Items (3)

Phenomenological models of synaptic plasticity based on spike timing ⋮ Inhibition, not excitation, is the key to multimodal sensory integration ⋮ Reconciling the STDP and BCM Models of Synaptic Plasticity in a Spiking Recurrent Neural Network

Cites Work

• Spatiotemporal specificity of synaptic plasticity: cellular rules and mechanisms
• A biophysical basis for the inter-spike interaction of spike-timing-dependent plasticity
• Higher-Order Statistics of Input Ensembles and the Response of Simple Model Neurons
• Relating STDP to BCM
• Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point

This page was built for publication: Computational consequences of experimentally derived spike-time and weight dependent plasticity rules