CA1 pyramidal neuron: synaptic plasticity during theta cycles (Saudargiene et al. 2015)

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Accession:157157
This NEURON code implements a microcircuit of CA1 pyramidal neuron and consists of a detailed model of CA1 pyramidal cell and four types of inhibitory interneurons (basket, bistratified, axoaxonic and oriens lacunosum-moleculare cells). Synaptic plasticity during theta cycles at a synapse in a single spine on the stratum radiatum dendrite of the CA1 pyramidal cell is modeled using a phenomenological model of synaptic plasticity (Graupner and Brunel, PNAS 109(20):3991-3996, 2012). The code is adapted from the Poirazi CA1 pyramidal cell (ModelDB accession number 20212) and the Cutsuridis microcircuit model (ModelDB accession number 123815)
Reference:
1 . Saudargiene A, Cobb S, Graham BP (2015) A computational study on plasticity during theta cycles at Schaffer collateral synapses on CA1 pyramidal cells in the hippocampus. Hippocampus 25:208-18 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse; Dendrite;
Brain Region(s)/Organism:
Cell Type(s): Hippocampus CA1 pyramidal cell; Hippocampus CA1 basket cell; Hippocampus CA1 bistratified cell; Hippocampus CA1 axo-axonic cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Long-term Synaptic Plasticity; STDP;
Implementer(s): Saudargiene, Ausra [ausra.saudargiene at gmail.com];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal cell;
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SaudargieneEtAl2015
readme.html
ANsyn.mod *
bgka.mod *
bistableGB_DOWNUP.mod
burststim2.mod *
cad.mod
cadiffus.mod *
cagk.mod *
cal.mod *
calH.mod *
car.mod *
cat.mod *
ccanl.mod *
d3.mod *
gabaa.mod *
gabab.mod *
glutamate.mod *
gskch.mod *
h.mod
hha_old.mod *
hha2.mod *
hNa.mod *
IA.mod
ichan2.mod
Ih.mod *
kadbru.mod
kadist.mod *
kapbru.mod
kaprox.mod *
Kaxon.mod *
kca.mod *
Kdend.mod *
km.mod *
Ksoma.mod *
LcaMig.mod *
my_exp2syn.mod *
Naaxon.mod *
Nadend.mod *
nap.mod
Nasoma.mod *
nca.mod *
nmda.mod *
nmdaca.mod *
regn_stim.mod *
somacar.mod *
STDPE2Syn.mod *
apical-non-trunk-list.hoc
apical-tip-list.hoc
apical-tip-list-addendum.hoc
apical-trunk-list.hoc
axoaxonic_cell17S.hoc
axon-sec-list.hoc
BasalPath.hoc
basal-paths.hoc
basal-tree-list.hoc
basket_cell17S.hoc
bistratified_cell13S.hoc
burst_cell.hoc
current-balance.hoc *
main.hoc
map-segments-to-3d.hoc *
mod_func.c
mosinit.hoc
ObliquePath.hoc *
oblique-paths.hoc
olm_cell2.hoc
pattsN100S20P5_single.dat
PC.ses
peri-trunk-list.hoc
pyramidalNeuron.hoc
randomLocation.hoc
ranstream.hoc
screenshot.png
soma-list.hoc
stim_cell.hoc *
vector-distance.hoc
                            
TITLE l-calcium channel
: l-type calcium channel


UNITS {
	(mA) = (milliamp)
	(mV) = (millivolt)
	(molar) = (1/liter)
	(mM) = (millimolar)
	FARADAY = 96520 (coul)
	R = 8.3134 (joule/degC)
	KTOMV = .0853 (mV/degC)
}

PARAMETER {
	v (mV)
	celsius 	(degC)
	glcabar		 (mho/cm2)
	ki=.001 (mM)
	cai (mM)
	cao (mM)
        tfa=1
}


NEURON {
	SUFFIX lca
	USEION lca READ elca WRITE ilca VALENCE 2
	USEION ca READ cai, cao VALENCE 2 
        RANGE glcabar, cai, ilca, elca
        GLOBAL minf,matu
}

STATE {
	m
}

ASSIGNED {
	ilca (mA/cm2)
        glca (mho/cm2)
        minf
        matu   (ms)
	elca (mV)   

}

INITIAL {
	rate(v)
	m = minf
	VERBATIM
	cai=_ion_cai;
	ENDVERBATIM
}

BREAKPOINT {
	SOLVE state METHOD cnexp
	glca = glcabar*m*m*h2(cai)
	ilca = glca*ghk(v,cai,cao)

}

FUNCTION h2(cai(mM)) {
	h2 = ki/(ki+cai)
}


FUNCTION ghk(v(mV), ci(mM), co(mM)) (mV) {
        LOCAL nu,f

        f = KTF(celsius)/2
        nu = v/f
        ghk=-f*(1. - (ci/co)*exp(nu))*efun(nu)
}

FUNCTION KTF(celsius (DegC)) (mV) {
        KTF = ((25./293.15)*(celsius + 273.15))
}


FUNCTION efun(z) {
	if (fabs(z) < 1e-4) {
		efun = 1 - z/2
	}else{
		efun = z/(exp(z) - 1)
	}
}

FUNCTION alp(v(mV)) (1/ms) {
	TABLE FROM -150 TO 150 WITH 200
	alp = 15.69*(-1.0*v+81.5)/(exp((-1.0*v+81.5)/10.0)-1.0)
}

FUNCTION bet(v(mV)) (1/ms) {
	TABLE FROM -150 TO 150 WITH 200
	bet = 0.29*exp(-v/10.86)
}

DERIVATIVE state {  
        rate(v)
        m' = (minf - m)/matu
}

PROCEDURE rate(v (mV)) { :callable from hoc
        LOCAL a
        a = alp(v)
        matu = 1/(tfa*(a + bet(v)))
        minf = tfa*a*matu
}
 



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