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

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Accession:267666
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:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; Python;
Model Concept(s): Facilitation; Detailed Neuronal Models; Ion Channel Kinetics; Pain processing;
Implementer(s):
Search NeuronDB for information about:  I Sodium; I Calcium; I Potassium;
TITLE AMPA receptor with pre-synaptic short-term plasticity 


COMMENT
AMPA receptor conductance using a dual-exponential profile
Pre-synaptic short-term plasticity based on Fuhrmann et al, 2002

Written by Paulo Aguiar and Mafalda Sousa, IBMC, May 2008
pauloaguiar@fc.up.pt ; mafsousa@ibmc.up.pt
ENDCOMMENT


COMMENT
for one synaptic event and zero initial conditions A=B=0,
max conductance is reached for t = tp and is equal to the
step increase of A and B divided by factor, ie weight or weight*Pv
ENDCOMMENT


NEURON {
	POINT_PROCESS AMPA_DynSyn	
	RANGE tau_rise, tau_decay
	RANGE U1, tau_rec, tau_fac, stp
	RANGE i, g, e
	NONSPECIFIC_CURRENT i
}

PARAMETER {
	tau_rise  = 0.1   (ms)  : dual-exponential conductance profile
	tau_decay = 5.0   (ms)  : IMPORTANT: tau_rise < tau_decay
	U1        = 1.0   (1)   : The parameter U1, tau_rec and tau_fac define _
	tau_rec   = 0.1   (ms)  : the pre-synaptic short-term plasticity _
	tau_fac   = 0.1   (ms)  : mechanism (see Fuhrmann et al, 2002)
	e         = 0.0   (mV)  : AMPA synapse reversal potential
	stp       = 1.0   (1)   : boolean for synaptic plasticity
}
     

ASSIGNED {
	v (mV)
	i (nA)
	g (umho)
	factor
}

STATE {
	A	: state variable to construct the dual-exponential profile
	B	: 
}

INITIAL{
	LOCAL tp
	A = 0
	B = 0
	tp = (tau_rise*tau_decay)/(tau_decay-tau_rise)*log(tau_decay/tau_rise)
	factor = -exp(-tp/tau_rise)+exp(-tp/tau_decay)
	factor = 1/factor
}

BREAKPOINT {
	SOLVE state METHOD cnexp
	g = B-A
	i = g*(v-e)
}

DERIVATIVE state{
	A' = -A/tau_rise
	B' = -B/tau_decay
}

NET_RECEIVE (weight, Pv, P, Use, t0 (ms)){
	INITIAL{
		P=1
		Use=0
		t0=t
	    }

    if(stp){
        Use = Use * exp(-(t-t0)/tau_fac)
        Use = Use + U1*(1-Use)
        P   = 1-(1- P) * exp(-(t-t0)/tau_rec)
        Pv  = Use * P
        P   = P - Use * P

        t0 = t

        A = A + weight*factor*Pv
        B = B + weight*factor*Pv
    } else {
        A = A + weight*factor
        B = B + weight*factor
    }
}