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]
Model Information (Click on a link to find other models with that property)
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];
load_file("nrngui.hoc")
load_file("mulfit.hoc")

proc fig1() {
	reset()
	load_file("fig1/localstep.hoc")
}

proc fig3() {
	reset()
	load_file("fitgabaa-5atol.hoc")
	execute("gengui(0)", MulRunFitter[0].p)
	MulRunFitter[0].p.run()
}

proc cmpdewb() {
	reset()
	load_file("init.hoc")
	load_file("cmpwb96.hoc")
	cmprun()
}

proc perf() {
	reset()
	load_file("init.hoc")
	run()
}

proc ringperf() {
	reset()
	load_file("rings/init.hoc")
}

objref vb
vb = new VBox()
vb.intercept(1)
xpanel("Selected Figures")
xbutton("Fig 1", "fig1()")
xbutton("Fig 3", "fig3()")
xbutton("Compare DE model with Wang&Buzsaki fig3a", "cmpdewb()")
xbutton("General Performance of DE Wang model", "perf()")
xbutton("Fig 5 Ring Performance", "ringperf()")
xpanel()
vb.intercept(0)
vb.map("Selected Figures")

proc reset() {local i
	vb.unmap()
}

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