"We have developed a spiking neural network simulator, which is both easy to use and computationally efficient, for the generation of large-scale computational neuroscience models. The simulator implements current or conductance based Izhikevich neuron networks, having spike-timing dependent plasticity and short-term plasticity. ..."
Model Type: Realistic Network; Neuron or other electrically excitable cell
Region(s) or Organism(s): Neocortex
Receptors: GabaA; GabaB; AMPA; NMDA
Model Concept(s): Short-term Synaptic Plasticity; Long-term Synaptic Plasticity; Methods; STDP
Simulation Environment: C or C++ program (web link to model)
References:
Richert M, Nageswaran JM, Dutt N, Krichmar JL. (2011). An efficient simulation environment for modeling large-scale cortical processing. Frontiers in neuroinformatics 5 [PubMed]