Local variable time step method (Lytton, Hines 2005)


The local variable time-step method utilizes separate variable step integrators for individual neurons in the network. It is most suitable for medium size networks in which average synaptic input intervals to a single cell are much greater than a fixed step dt.

Model Concept(s): Methods

Simulation Environment: NEURON

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

References:

Lytton WW, Hines ML. (2005). Independent variable time-step integration of individual neurons for network simulations. Neural computation. 17 [PubMed]


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