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Discrete event simulation in the NEURON environment (Hines and Carnevale 2004)

A short introduction to how "integrate and fire" cells are implemented in NEURON. Network simulations that use only artificial spiking cells are extremely efficient, with runtimes proportional to the total number of synaptic inputs received and independent of the number of cells or problem time.

Model Type: Neuron or other electrically excitable cell

Model Concept(s): Tutorial/Teaching; Methods

Simulation Environment: NEURON

Implementer(s): Hines, Michael [Michael.Hines at Yale.edu]

References:

Hines ML, Carnevale NT. (2004). Discrete event simulation in the NEURON environment. Neurocomputing. 58-60

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