MicrocircuitDB: Distinct current modules shape cellular dynamics in model neurons (Alturki et al 2016)

Distinct current modules shape cellular dynamics in model neurons (Alturki et al 2016)

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Accession:223649

" ... We hypothesized that currents are grouped into distinct modules that shape specific neuronal characteristics or signatures, such as resting potential, sub-threshold oscillations, and spiking waveforms, for several classes of neurons. For such a grouping to occur, the currents within one module should have minimal functional interference with currents belonging to other modules. This condition is satisfied if the gating functions of currents in the same module are grouped together on the voltage axis; in contrast, such functions are segregated along the voltage axis for currents belonging to different modules. We tested this hypothesis using four published example case models and found it to be valid for these classes of neurons. ..."
Reference:
1 . Alturki A, Feng F, Nair A, Guntu V, Nair SS (2016) Distinct current modules shape cellular dynamics in model neurons. Neuroscience 334:309-331 [PubMed]

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Model Type:	Neuron or other electrically excitable cell;
Brain Region(s)/Organism:	Hippocampus; Amygdala;
Cell Type(s):	Abstract single compartment conductance based cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	NEURON;
Model Concept(s):	Simplified Models; Activity Patterns; Oscillations; Methods; Olfaction;
Implementer(s):

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AlturkiEtAl2016

ca3b-cell1zr.hoc

ca3b-cell1zr.ses

geo-cell1zr.hoc *

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}
}