Medial vestibular neuron models (Quadroni and Knopfel 1994)

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Accession:53876
The structure and the parameters of the model cells were chosen to reproduce the responses of type A and type B MVNns as described in electrophysiological recordings. The emergence of oscillatory firing under these two specific experimental conditions is consistent with electrophysiological recordings not used during construction of the model. We, therefore, suggest that these models have a high predictive value.
Reference:
1 . Quadroni R, Knöpfel T (1994) Compartmental models of type A and type B guinea pig medial vestibular neurons. J Neurophysiol 72:1911-24 [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): Vestibular neuron;
Channel(s): I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I h;
Gap Junctions:
Receptor(s): NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Oscillations; Action Potentials; Calcium dynamics;
Implementer(s): Morse, Tom [Tom.Morse at Yale.edu];
Search NeuronDB for information about:  NMDA; I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I h;
// For some reason (probably overwritting by other mechanisms) the below
// commented out attempt at verification of i_ahp did not work:
// print " Diagnostic print will hopefully print 0.0059 and 0.86 approximately below:"
// {somaA cai=5e-5 init() print somaA.q_ahp(0.5)}
// should print 0.0058774139, a not activated conductance at 50 nM
// {somaA cai=5e-4 init() print somaA.q_ahp(0.5)}
// should print 0.85532747, becomes an almost fully activated conductance at 500 nM
// see Quadroni PhD thesis comment on top of p50 for more details.

// The below method however does work for showing that i_ahp is responding correctly
// to 50 and 500 nM [Ca]i (cai) by activating and inactivating

objref ca_vec, g
load_file("q_ahp_graph.ses")
// above will display activation variable that is part of i_ahp
ca_vec = new Vector(tstop/dt + 1)
ca_vec.fill(5e-4)
ca_vec.fill(5e-5, int(tstop/(4*dt)),int(tstop/dt))

ca_vec.play(&somaA.cai(0.5),dt)
init()
run()

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