Neuronal morphology goes digital ... (Parekh & Ascoli 2013)

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Accession:148644
An illustration of a NEURON model and why reconstructing morphologies is useful in this regard (i.e. investigating spatial/temporal aspect of how different currents and voltage propagate in dendrites).
Reference:
1 . Parekh R, Ascoli GA (2013) Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron 77:1017-38 [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): Hippocampus CA3 stratum oriens lacunosum-moleculare interneuron;
Channel(s): I Na,t; I A; I K; I h;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Tutorial/Teaching;
Implementer(s): Ferrante, Michele [mferr133 at bu.edu];
Search NeuronDB for information about:  I Na,t; I A; I K; I h;
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ParekhAscoli2013
readme.html
distr.mod *
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kaprox.mod *
kdrca1.mod *
na3n.mod *
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netstims.mod *
85-LM-HiDe.hoc
Fig4C.hoc
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geo5038804.hoc *
mosinit.hoc
screenshot.png
                            
TITLE ...just to store peak membrane voltage
: M.Migliore June 2001

UNITS {
	(mA) = (milliamp)
	(mV) = (millivolt)

}

PARAMETER {
	v (mV)
}


NEURON {
	SUFFIX ds
        RANGE vmax
}

ASSIGNED {
	vmax
}

INITIAL {
	vmax=v
}


BREAKPOINT {
	if (v>vmax) {vmax=v}
}

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