Control of vibrissa motoneuron firing (Harish and Golomb 2010)

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Accession:127022
We construct and analyze a single-compartment, conductance-based model of vibrissa motoneurons. Low firing rates are supported in extended regimes by adaptation currents and the minimal firing rate decreases with the persistent sodium conductance gNaP and increases with M-potassium and h-cation conductances. Suprathreshold resonance results from the locking properties of vMN firing to stimuli and from reduction of firing rates at low frequencies by slow M and afterhyperpolarization potassium conductances. h conductance only slightly affects the suprathreshold resonance. When a vMN is subjected to a small periodic CPG input, serotonergically induced gNaP elevation may transfer the system from quiescence to a firing state that is highly locked to the CPG input.
Reference:
1 . Harish O, Golomb D (2010) Control of the firing patterns of vibrissa motoneurons by modulatory and phasic synaptic inputs: a modeling study. J Neurophysiol 103:2684-99 [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): Vibrissa motoneuron;
Channel(s): I Na,p; I Na,t; I K; I M; I h; I_AHP;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Serotonin;
Simulation Environment: XPP;
Model Concept(s): Locking, mixed mode;
Implementer(s): Golomb, David [golomb at bgu.ac.il]; Harish, Omri [omriharish at gmail.com];
Search NeuronDB for information about:  I Na,p; I Na,t; I K; I M; I h; I_AHP; Serotonin;
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vmn
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vMN_fig2A.ode
vMN_ref_parameter_set.ode
                            
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