Four-pathway phenomenological synaptic plasticity model (Ebner et al. 2019)

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Accession:251493

Reference:
1 . Ebner C, Clopath C, Jedlicka P, Cuntz H (2019) Unifying Long-Term Plasticity Rules for Excitatory Synapses by Modeling Dendrites of Cortical Pyramidal Neurons. Cell Rep 29:4295-4307.e6 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s): Neocortex V1 L5B pyramidal pyramidal tract GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Synaptic Plasticity; Long-term Synaptic Plasticity; Detailed Neuronal Models; Active Dendrites; Influence of Dendritic Geometry;
Implementer(s): Ebner, Christian [ebner at fias.uni-frankfurt.de];
Search NeuronDB for information about:  Neocortex V1 L5B pyramidal pyramidal tract GLU cell;
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EbnerEtAl2019
mod
Ca_HVA.mod *
Ca_LVAst.mod *
CaDynamics_E2.mod *
Ih.mod *
Im.mod *
K_Pst.mod *
K_Tst.mod *
Nap_Et2.mod *
NaTa_t.mod *
NaTs2_t.mod *
SK_E2.mod *
SKv3_1.mod *
syn_4p.mod
vecevent.mod *
                            
:Reference :Colbert and Pan 2002

NEURON	{
	SUFFIX NaTa_t
	USEION na READ ena WRITE ina
	RANGE gNaTa_tbar, gNaTa_t, ina
}

UNITS	{
	(S) = (siemens)
	(mV) = (millivolt)
	(mA) = (milliamp)
}

PARAMETER	{
	gNaTa_tbar = 0.00001 (S/cm2)
}

ASSIGNED	{
	v	(mV)
	ena	(mV)
	ina	(mA/cm2)
	gNaTa_t	(S/cm2)
	mInf
	mTau
	mAlpha
	mBeta
	hInf
	hTau
	hAlpha
	hBeta
}

STATE	{
	m
	h
}

BREAKPOINT	{
	SOLVE states METHOD cnexp
	gNaTa_t = gNaTa_tbar*m*m*m*h
	ina = gNaTa_t*(v-ena)
}

DERIVATIVE states	{
	rates()
	m' = (mInf-m)/mTau
	h' = (hInf-h)/hTau
}

INITIAL{
	rates()
	m = mInf
	h = hInf
}

PROCEDURE rates(){
  LOCAL qt
  qt = 2.3^((34-21)/10)
	
  UNITSOFF
    if(v == -38){
    	v = v+0.0001
    }
		mAlpha = (0.182 * (v- -38))/(1-(exp(-(v- -38)/6)))
		mBeta  = (0.124 * (-v -38))/(1-(exp(-(-v -38)/6)))
		mTau = (1/(mAlpha + mBeta))/qt
		mInf = mAlpha/(mAlpha + mBeta)

    if(v == -66){
      v = v + 0.0001
    }

		hAlpha = (-0.015 * (v- -66))/(1-(exp((v- -66)/6)))
		hBeta  = (-0.015 * (-v -66))/(1-(exp((-v -66)/6)))
		hTau = (1/(hAlpha + hBeta))/qt
		hInf = hAlpha/(hAlpha + hBeta)
	UNITSON
}

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