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

 Download zip file   Auto-launch 
Help downloading and running models
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];
load_file(1, "fig8.ses")
secondorder=2
proc prun() {local i, j
	run()
	for j=0,1 for i=2,3 Graph[i].exec_menu("Keep Lines")
}

{
Graph[1].exec_menu("Keep Lines")
prun()
forall nseg=3  prun()
forall nseg=1  prun()
Graph[1].exec_menu("Keep Lines")
}

Loading data, please wait...