CA1 network model for place cell dynamics (Turi et al 2019)

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Accession:246546
Biophysical model of CA1 hippocampal region. The model simulates place cells/fields and explores the place cell dynamics as function of VIP+ interneurons.
Reference:
1 . Turi GF, Li W, Chavlis S, Pandi I, O’Hare J, Priestley JB, Grosmark AD, Liao Z, Ladow M, Zhang JF, Zemelman BV, Poirazi P, Losonczy A (2019) Vasoactive Intestinal Polypeptide-Expressing Interneurons in the Hippocampus Support Goal-Oriented Spatial Learning Neuron
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Hippocampus; Mouse;
Cell Type(s): Hippocampus CA1 pyramidal cell; Hippocampus CA1 basket cell; Hippocampus CA1 basket cell - CCK/VIP; Hippocampus CA1 bistratified cell; Hippocampus CA1 axo-axonic cell; Hippocampus CA1 stratum oriens lacunosum-moleculare interneuron ; Hippocampal CA1 CR/VIP cell;
Channel(s): I A; I h; I K,Ca; I Calcium; I Na, leak; I K,leak; I M;
Gap Junctions:
Receptor(s): GabaA; GabaB; NMDA; AMPA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; Brian;
Model Concept(s): Place cell/field;
Implementer(s): Chavlis, Spyridon [schavlis at imbb.forth.gr]; Pandi, Ioanna ;
Search NeuronDB for information about:  Hippocampus CA1 pyramidal cell; GabaA; GabaB; AMPA; NMDA; I A; I K,leak; I M; I h; I K,Ca; I Calcium; I Na, leak;
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Turi_et_al_2018
mechanisms
ANsyn.mod
bgka.mod
burststim2.mod *
cad.mod
cadyn.mod
cadyn_new.mod
cagk.mod *
cal.mod
calH.mod *
cancr.mod
car.mod *
cat.mod
ccanl.mod *
gskch.mod
h.mod
hha_old.mod *
hha2.mod
hNa.mod *
IA.mod
iccr.mod
ichan2.mod
ichan2aa.mod
ichan2bc.mod
ichan2bs.mod
ichan2vip.mod
Ih.mod *
Ihvip.mod
ikscr.mod *
kad.mod *
kadistcr.mod
kap.mod
Kaxon.mod
kca.mod
Kdend.mod
kdrcr.mod *
km.mod
Ksoma.mod
LcaMig.mod *
my_exp2syn.mod
Naaxon.mod
Nadend.mod
nafcr.mod *
nap.mod
Nasoma.mod
nca.mod *
nmda.mod
regn_stim.mod
somacar.mod
STDPE2Syn.mod *
vecstim.mod *
                            
: from Durstewitz & Gabriel (2006), Cerebral Cortex

TITLE nmda synapse 

NEURON {
	POINT_PROCESS NMDA
	NONSPECIFIC_CURRENT i
    RANGE g, a, b, gNMDAmax, tauD, tauF, util, tcon, tcoff, enmda
}

UNITS {
    (uS) = (microsiemens)
    (nA) = (nanoamp)
    (mV) = (millivolt)
}

PARAMETER {
	tcon     = 2.3  (ms)
	tcoff    = 95.0 (ms)
	enmda    = 0 	(mV)
	gNMDAmax = 0	(uS)
    tauD     = 800  (ms)
    tauF     = 800  (ms)
    util     = .3
}

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

INITIAL { 
   a=0  
   b=0 
   factor=tcon*tcoff/(tcoff-tcon)
}

STATE {
      a
      b
}

BREAKPOINT {
	LOCAL s
	SOLVE states METHOD derivimplicit
	s = 1.50265/(1+0.33*exp(-0.0625*v))
    g = b - a
	i = gNMDAmax*g*s*(v-enmda)
}

DERIVATIVE states {
	a' = -a/tcon
	b' = -b/tcoff
}

NET_RECEIVE(wgt,R,u,tlast (ms),nspike) {
    LOCAL x
    :printf("entry flag=%g t=%g\n", flag, tlast)
    if (nspike==0) { R=1  u=util }
	else {
	     if (tauF>0) { u=util+(1-util)*u*exp(-(t-tlast)/tauF) }
	     if (tauD>0) { R=1+(R*(1-u)-1)*exp(-(t-tlast)/tauD) }
	     }
	x = wgt*factor*R*u
	state_discontinuity(a,a+x)
	state_discontinuity(b,b+x)
    tlast=t
    nspike= nspike+1
}