Local variable time step method (Lytton, Hines 2005)

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Accession:33975
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.
Reference:
1 . Lytton WW, Hines ML (2005) Independent variable time-step integration of individual neurons for network simulations. Neural Comput 17:903-21 [PubMed]
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Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Methods;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu];
TITLE steady current, amp is positive inward

UNITS {
	(mA) = (milliamp)
}

NEURON {
	SUFFIX cur
	NONSPECIFIC_CURRENT i
	RANGE amp
}

PARAMETER {
	amp (milliamp/cm2)
}

ASSIGNED { i (mA/cm2)}

BREAKPOINT {
	i = -amp
}

Lytton WW, Hines ML (2005) Independent variable time-step integration of individual neurons for network simulations. Neural Comput 17:903-21[PubMed]

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References and models that cite this paper

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