Spatial gridding and temporal accuracy in NEURON (Hines and Carnevale 2001)

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Accession:53451
A heuristic for compartmentalization based on the space constant at 100 Hz is proposed. The paper also discusses spatio/temporal accuracy and the use of CVODE.
Reference:
1 . Hines ML, Carnevale NT (2001) NEURON: a tool for neuroscientists. Neuroscientist 7:123-35 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Tutorial/Teaching; Methods;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu];
: peak voltage and time of the peak voltage
NEURON {
	SUFFIX peak
	RANGE tm, vm
}

ASSIGNED {
	tm (ms)
	vm (millivolt)
	v (millivolt)
}

INITIAL {
	tm = t
	vm = v
}

AFTER SOLVE {
	if (v > vm) {
		vm = v
		tm = t
	}
}


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