An implementation of a model of short-term synaptic plasticity with NEURON. The model was originally described by Tsodyks et al., who assumed that the synapse acted as a current source, but this implementation treats it as a conductance change. Tsodyks, M., Pawelzik, K., Markram, H. Neural networks with dynamic synapses. Neural Computation 10:821-835, 1998. Tsodyks, M., Uziel, A., Markram, H. Synchrony generation in recurrent networks with frequency-dependent synapses. J. Neurosci. 2000 RC50.
Model Type: Synapse
Receptors: AMPA
Transmitters: Glutamate
Model Concept(s): Short-term Synaptic Plasticity; Facilitation; Depression
Simulation Environment: NEURON
Implementer(s): Carnevale, Ted [Ted.Carnevale at Yale.edu]
References:
Tsodyks M, Pawelzik K, Markram H. (1998). Neural networks with dynamic synapses. Neural computation. 10 [PubMed]