Sympathetic Preganglionic Neurone (Briant et al. 2014)

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Accession:151482
A model of a sympathetic preganglionic neurone of muscle vasoconstrictor-type.
Reference:
1 . Briant LJ, Stalbovskiy AO, Nolan MF, Champneys AR, Pickering AE (2014) Increased intrinsic excitability of muscle vasoconstrictor preganglionic neurons may contribute to the elevated sympathetic activity in hypertensive rats. J Neurophysiol 112:2756-78 [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): Spinal cord lumbar motor neuron alpha ACh cell; Spinal cord sympathetic preganglionic neuron;
Channel(s): I Na,t; I L high threshold; I N; I A; I K; I K,Ca; I_AHP;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; MATLAB;
Model Concept(s): Action Potential Initiation; Activity Patterns; Bursting; Ion Channel Kinetics; Temporal Pattern Generation; Parameter Fitting; Action Potentials; Parameter sensitivity;
Implementer(s):
Search NeuronDB for information about:  Spinal cord lumbar motor neuron alpha ACh cell; I Na,t; I L high threshold; I N; I A; I K; I K,Ca; I_AHP;
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SPN_ModelDB
MATLAB_code
SteadyState.m
                            
cd('C:\Users\lb5962\SPN_ModelDB')
N=importdata('ActivationProtocol_GKA.dat',' ',1);

cd('C:\Users\lb5962\SPN_ModelDB')
M=importdata('InactivationProtocol_GKA.dat',' ',1);

%% Normalised conductances

[m,n]=size(N.data);

dt=M.data(2,1)-M.data(1,1);

for i=2:n
    Act(i-1)=max(N.data(3e3/dt:3.5e3/dt,i));
end

Act=Act/max(Act);
V_Act=fliplr([-100:5:0]);

[k,l]=size(M.data);

for i=2:l
    Inact(i-1)=max(M.data(3e3/dt:3.5e3/dt,i));
end

Inact=Inact/max(Inact);
V_Inact=fliplr([-100:5:-20]);

h=figure;
plot(V_Act,Act,'-sg')
hold on
plot(V_Inact,Inact,'-ok')
xlabel('Conditioning Potential V_C (mV)')
ylabel('Normalised Peak Conductance')

hold off