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]
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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;
// define section lists for sections that have particular channels

/////////// proximal and distal sections for type A cell

objref A_prox_sects, A_dist_sects

A_prox_sects = new SectionList()
A_dist_sects = new SectionList()

for (i=0; i<=2 ; i = i + 1) dendA[i] A_prox_sects.append()

for (i=3; i<=8 ; i = i + 1) dendA[i] A_dist_sects.append()

/////////// proximal and distal sections for type B cell

objref B_prox_sects, B_dist_sects

B_prox_sects = new SectionList()
B_dist_sects = new SectionList()

for (i=0; i<=3 ; i = i + 1) dendB[i] B_prox_sects.append()

for (i=4; i<=11 ; i = i + 1) dendB[i] B_dist_sects.append()

///////////////////////////// all sections in a cell

objref A_sects, B_sects

A_sects = new SectionList()

somaA A_sects.append()

for (i=0; i<=8 ; i = i + 1) dendA[i] A_sects.append()

B_sects = new SectionList()

somaB B_sects.append()

for (i=0; i<=11 ; i = i + 1) dendB[i] B_sects.append()