Pyramidal neuron, fast, regular, and irregular spiking interneurons (Konstantoudaki et al 2014)

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Accession:168310
This is a model network of prefrontal cortical microcircuit based primarily on rodent data. It includes 16 pyramidal model neurons, 2 fast spiking interneuron models, 1 regular spiking interneuron model and 1 irregular spiking interneuron model. The goal of the paper was to use this model network to determine the role of specific interneuron subtypes in persistent activity
Reference:
1 . Konstantoudaki X, Papoutsi A, Chalkiadaki K, Poirazi P, Sidiropoulou K (2014) Modulatory effects of inhibition on persistent activity in a cortical microcircuit model. Front Neural Circuits 8:7 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neocortex fast spiking (FS) interneuron; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron; Neocortex spiking irregular interneuron;
Channel(s): I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I h; I_Ks; I_KD;
Gap Junctions:
Receptor(s): GabaA; GabaB; AMPA; NMDA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Synchronization; Active Dendrites;
Implementer(s): Sidiropoulou, Kyriaki [sidirop at imbb.forth.gr]; Konstantoudaki, Xanthippi [xeniakons at gmail.com];
Search NeuronDB for information about:  GabaA; GabaB; AMPA; NMDA; I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I h; I_Ks; I_KD; Gaba; Glutamate;
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KonstantoudakiEtAl2014
experiment
data
ampa.mod
ampain.mod
cadyn.mod
cadynin.mod
cal.mod
calc.mod
calcb.mod
can.mod
cancr.mod
canin.mod
car.mod
cat.mod
catcb.mod
gabaa.mod *
gabaain.mod
gabab.mod
h.mod
hcb.mod
hin.mod
ican.mod
iccb.mod
iccr.mod
icin.mod
iks.mod
ikscb.mod
ikscr.mod
iksin.mod
kadist.mod
kadistcr.mod
kadistin.mod
kaprox.mod
kaproxcb.mod
kaproxin.mod
kca.mod
kcain.mod
kct.mod
kctin.mod
kdr.mod *
kdrcb.mod
kdrcr.mod
kdrin.mod
naf.mod
nafcb.mod
nafcr.mod
nafin.mod
nafx.mod
nap.mod *
netstim.mod *
NMDA.mod
NMDAIN.mod
sinclamp.mod *
cb.hoc
cr.hoc
ExperimentControl.hoc *
final.hoc
incell.hoc
net.hoc
pfc_pc_temp.hoc
run
run_orig
                            
/* 4-compartment model of a deep layer PFC pyramidal cell */
/* based on Durstewitz et al. (2000), J.Neurophysiol. 83: 1733-50 updated by K. Sidiropoulou, 05/2014*/

begintemplate Pcell

public soma, dend, axon

create 	soma,dend[3], axon  //dend[0]=basal, dend[1]=proximal, dend[2]=distal

proc init() {

ndend = 3
create soma, dend[ndend], axon

soma{
	nseg=3
	L=86.3
	diam=10.14  
	

	insert pas
     	cm = 1.2         /* microF/cm2 */
	g_pas = 9e-5   /* mho/cm2 */    
	e_pas = -65
	Ra = 150         /* ohm-cm */

//conductances

soma_kdr = 0.018*0.3  
soma_naf = 0.018
fast_kca = 0.0022   
soma_nap = 0.000018
soma_Kslow = 0.0012  
soma_kad = 0.0007
soma_calc = 0.0001*0.1
soma_cal = 0.0001*0.3
soma_can = 0.0002
soma_cat = 0.0002*0.3
soma_car = 0.000001*0.3
soma_h = 1.8e-5 *0.5     
soma_kca = 0.005*5     
ican_soma=0.001*0.07*0
ican_dend=ican_soma*0.1*0

	insert Naf
	gnafbar_Naf = soma_naf*6    

	insert Nap
	gnapbar_Nap = soma_nap*0.1

	insert calc
	gcabar_calc = soma_calc 

	insert cal
	gcalbar_cal = soma_cal

	insert can
	gcabar_can = soma_can*0.1

	insert car
	gcabar_car = soma_car*0.1

	insert cat
	gcatbar_cat = soma_cat*0.1	

	insert kdr
	gkdrbar_kdr = soma_kdr

	insert IKs
	gKsbar_IKs = soma_Kslow*0.5		

	insert kad
	gkabar_kad = soma_kad

	insert iC
	gkcbar_iC = fast_kca

	insert h
	gbar_h = soma_h
	
	insert kca
	gbar_kca = soma_kca

	insert ican
	gbar_ican=ican_soma  

	insert cadyn
}

//Dendritic_factors

dend[0]{
//basal dendrites
	nseg=9
	L=150.0
	diam=1 


	insert pas
     	cm = 1.2*2         /* microF/cm2 */
	g_pas = 8.5e-5*2   /* mho/cm2 */    
	e_pas = -65
	Ra = 150           /* ohm-cm */

	insert Naf
	gnafbar_Naf = soma_naf*0.1

	insert Nap
	gnapbar_Nap = soma_nap

	insert calc
	gcabar_calc = soma_calc
        
        insert cal
	gcalbar_cal = soma_cal

        insert can
	gcabar_can = soma_can*0.3

	insert car
	gcabar_car = soma_car*0.3

	insert cat
	gcatbar_cat = soma_cat

	insert kdr
	gkdrbara_kdr = soma_kdr*0.09 

	insert IKs
	gKsbar_IKs = soma_Kslow
	
	insert kad
	gkabar_kad = soma_kad

	insert iC
	gkcbar_iC = fast_kca*0.001

	insert kca  
	gbar_kca = soma_kca*0.001

	insert h
	gbar_h =soma_h

	insert ican
	gbar_ican=ican_dend

	insert cadyn
}

dend[1]{
//proximal dendrites
	nseg=17   
	L=400.0
        diam=2.6

	
	insert pas
      	cm = 1.2*2        /* microF/cm2 */
	g_pas = 8.5e-5*2  /* mho/cm2 */  
	e_pas = -65
	Ra = 150          /* ohm-cm */

	insert Naf
	gnafbar_Naf = soma_naf*0.4

	insert Nap
	gnapbar_Nap = soma_nap*3

	insert calc
	gcabar_calc = soma_calc   

	insert can
	gcabar_can = soma_can*0.3   

	insert car
	gcabar_car = soma_car*0.3   

	insert cat
	gcatbar_cat = soma_cat  

	insert kdr
	gkdrbar_kdr = soma_kdr*0.004   

	insert IKs
	gKsbar_IKs = soma_Kslow

	insert kad
	gkabar_kad = soma_kad

	insert iC
	gkcbar_iC = fast_kca*0.01

	insert kca
	gbar_kca = soma_kca*0.1

	insert h
	gbar_h =soma_h

	insert ican
	gbar_ican=ican_dend

	insert cadyn
}

dend[2]{
	nseg=5
	L=400
	diam=2.6
      
	
	insert pas
      	cm = 1.2*2         /* microF/cm2 */
	g_pas = 8.5e-5*2   /* mho/cm2 */    
	e_pas = -65
	Ra = 150           /* ohm-cm */
 
	insert Naf	
	gnafbar_Naf = soma_naf*0.2

        insert Nap
        gnapbar_Nap = soma_nap*10

	insert calc
	gcabar_calc = soma_calc*0.3

	insert can
	gcabar_can = soma_can*5

	insert car
	gcabar_car = soma_car*5   

	insert cat
	gcatbar_cat = soma_cat*0.1	

	insert kdr	
	gkdrbar_kdr = soma_kdr*0.001   

	insert IKs	
	gKsbar_IKs = soma_Kslow   

	insert kad
	gkabar_kad = soma_kad*0.1 

	insert iC	
	gkcbar_iC = fast_kca*0.001
	
	insert h
	gbar_h =soma_h*10

	insert ican
	gbar_ican=ican_dend

	insert cadyn
}
	
axon {
	nseg=1
	L=113.22
	diam=1.1

	//insert kdyn	
	insert pas
      	cm = 1.2         /* microF/cm2 */
	g_pas = 8.5e-5   /* mho/cm2 */    
	e_pas = -65
	Ra = 150         /* ohm-cm */

	insert Naf
	gnafbar_Naf=soma_naf*10

	insert kdr
	gkdrbar_kdr=soma_kdr
}

connect dend[0](0), soma(0)
connect dend[1](0), soma(1)
connect dend[2](0), dend[1](1)
connect axon(0), soma(0.5)

cao0_ca_ion = 2 	/* mM */
cai0_ca_ion = 50e-6  	/* mM */
ko0_k_ion = 3.82 	/* mM */
ki0_k_ion = 140   	/* mM */
celsius   = 23
}

init()

endtemplate Pcell

//Creating new neurons
nPcells = 16//9
objref Pcells[nPcells]

for i = 0, (nPcells-1) {
Pcells[i] = new Pcell()
}

//Create a list with segments
objref soma_list, dend_list, pcell_list, cell0_list

soma_list = new SectionList()
for i=0, (nPcells-1) {
Pcells[i].soma soma_list.append()
}

dend_list = new SectionList()
for i=0, (nPcells-1) {Pcells[i].dend[0] dend_list.append()}
for i=0, (nPcells-1) {Pcells[i].dend[1] dend_list.append()}
for i=0, (nPcells-1) {Pcells[i].dend[2] dend_list.append()}

pcell_list = new SectionList()
for i=0, (nPcells-1) {Pcells[i].soma pcell_list.append()}
for i=0, (nPcells-1) {Pcells[i].dend[0] pcell_list.append()}
for i=0, (nPcells-1) {Pcells[i].dend[1] pcell_list.append()}
for i=0, (nPcells-1) {Pcells[i].dend[2] pcell_list.append()}

cell0_list=new SectionList()
Pcells[0].soma cell0_list.append()
Pcells[0].dend[0] cell0_list.append()
Pcells[0].dend[1] cell0_list.append()
Pcells[0].dend[2] cell0_list.append()

xopen("../bash_templates/current-balance.hoc")
current_balance(-65)

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