A model of ASIC1a and synaptic cleft pH modulating wind-up in wide dynamic range neurons (Delrocq)

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We introduce a model of ASIC1a homomeric (and heteromeric) ion channel inserted into a pre-existing model of wide dynamic range (WDR) neuron of the spinal cord together with a novel synaptic cleft acidification mechanism. This computational model shows a dual contribution of the ASIC1a channels to wind-up, a facilitation mechanism of WDR neurons, which has been verified experimentally: inhibiting or maximally activating ASICs reduce wind-up. The wind-up inhibition by activation of ASICs is likely mediated by calcium influx and calcium-activated potassium channels.
Model Information (Click on a link to find other models with that property)
Model Type: Channel/Receptor; Synapse; Neuron or other electrically excitable cell; Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Wide dynamic range neuron;
Channel(s): I Calcium; I Potassium; I Sodium;
Gap Junctions:
Simulation Environment: NEURON; Python;
Model Concept(s): Facilitation; Detailed Neuronal Models; Ion Channel Kinetics; Pain processing;
Search NeuronDB for information about:  I Sodium; I Calcium; I Potassium;
# for grid search
qs = [0.05, 0.1, 0.3, 0.5, 1, 2, 5]
taus = [0.01, 0.05, 0.1, 0.2, 0.5, 1, 2, 4, 12]
cond = 0.2
ca = 0.1
with open("args.txt", "w") as f:
    for q in qs:
        for tau in taus:
            f.write(f"{q} {tau} {cond} {ca}\n")

# for figures 4 and 5 (?)
conds = [0.01, 0.05, 0.1, 0.2, 0.4, 0.8, 1, 1.4, 1.5, 3]
cas = [0, 0.1]
q = 0.3
tau = 0.1
with open("args.txt", "a") as f:
    for c in conds:
        for ca in cas:
            f.write(f"{q} {tau} {c} {ca}\n")
    f.write(f"{q} {tau} {0} {0}\n")   # Additional parameter set for absence of ASICs