Long time windows from theta modulated inhib. in entorhinal–hippo. loop (Cutsuridis & Poirazi 2015)

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Accession:181967
"A recent experimental study (Mizuseki et al., 2009) has shown that the temporal delays between population activities in successive entorhinal and hippocampal anatomical stages are longer (about 70–80 ms) than expected from axon conduction velocities and passive synaptic integration of feed-forward excitatory inputs. We investigate via computer simulations the mechanisms that give rise to such long temporal delays in the hippocampus structures. ... The model shows that the experimentally reported long temporal delays in the DG, CA3 and CA1 hippocampal regions are due to theta modulated somatic and axonic inhibition..."
Reference:
1 . Cutsuridis V, Poirazi P (2015) A computational study on how theta modulated inhibition can account for the long temporal windows in the entorhinal-hippocampal loop. Neurobiol Learn Mem 120:69-83 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Dentate gyrus granule GLU cell; Hippocampus CA1 pyramidal GLU cell; Hippocampus CA3 pyramidal GLU cell; Hippocampus CA3 interneuron basket GABA cell; Dentate gyrus mossy cell; Dentate gyrus basket cell; Dentate gyrus hilar cell; Hippocampus CA1 basket cell; Hippocampus CA3 stratum oriens lacunosum-moleculare interneuron; Hippocampus CA1 bistratified cell; Hippocampus CA1 axo-axonic cell; Hippocampus CA3 axo-axonic cells;
Channel(s): I Na,t; I L high threshold; I N; I T low threshold; I A; I K; I M; I h; I K,Ca; I_AHP;
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Pattern Recognition; Temporal Pattern Generation; Spatio-temporal Activity Patterns; Brain Rhythms; Storage/recall;
Implementer(s): Cutsuridis, Vassilis [vcutsuridis at gmail.com];
Search NeuronDB for information about:  Dentate gyrus granule GLU cell; Hippocampus CA1 pyramidal GLU cell; Hippocampus CA3 pyramidal GLU cell; Hippocampus CA3 interneuron basket GABA cell; GabaA; AMPA; NMDA; I Na,t; I L high threshold; I N; I T low threshold; I A; I K; I M; I h; I K,Ca; I_AHP;
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CutsuridisPoirazi2015
Results
Weights
readme.html
ANsyn.mod *
bgka.mod *
borgkm.mod *
burststim.mod
cacumm.mod *
cad.mod
cadiv.mod *
cagk.mod
cagk2.mod
cagk3.mod
cal.mod *
cal1.mod
cal2.mod
calH.mod *
can2.mod *
can3.mod
car.mod *
cat.mod *
cat2.mod
cat3.mod
ccanl.mod *
distr.mod *
gskch.mod *
h.mod *
h2.mod
hha_old.mod *
hha2.mod *
hNa.mod *
hyperde3.mod *
IA.mod *
ichan2.mod *
Ih.mod *
kad.mod *
kahp.mod *
KahpM95.mod *
kap.mod *
kaprox.mod
Kaxon.mod *
kca.mod *
kd.mod *
Kdend.mod *
kdr.mod *
kdrca1.mod *
km.mod *
km2.mod
Ksoma.mod *
LcaMig.mod *
my_exp2syn.mod *
na3n.mod *
Naaxon.mod *
Nadend.mod *
nahh.mod *
Nasoma.mod *
naxn.mod *
nca.mod *
nmda.mod *
regn_stim.mod *
somacar.mod *
BasketCell.hoc
burst_cell.hoc
CA1AAC.hoc
CA1BC.hoc
CA1BSC.hoc
CA1OLM.hoc
CA1PC.hoc
CA3AAC.hoc
CA3BC.hoc
CA3BSC.hoc
CA3OLM.hoc
CA3PC.hoc
GC.hoc
gui.ses
HC.hoc
MC.hoc
mosinit.hoc
network.hoc
OLM.hoc
ranstream.hoc *
rig.hoc
screenshot.png
stim_cell.hoc
                            
begintemplate GranuleCell

ndend1=4
ndend2=4
public  pre_list, connect2target, subsets, is_art, is_connected
public  vbc2gc, vmc2gc, vhc2gc, vgc2bc, vbc2bc, vmc2bc, vhc2bc, vgc2mc, vbc2mc, vmc2mc, vhc2mc, vgc2hc, vmc2hc
public soma, gcdend1, gcdend2
public all, gcldend, pdend, mdend, ddend

nst=10
objectvar stim[nst]
double stimdur[nst], stimdel[nst], stimamp[nst]
public stim, stimdur, stimamp, stimdel
create soma, gcdend1[ndend1], gcdend2[ndend2]
objref pre_list


proc init() {
	pre_list = new List()
	subsets()
	gctemp()
	synapse()
}
objref all, gcldend, pdend, mdend, ddend
proc subsets(){ local i
	objref all, gcldend, pdend, mdend, ddend
	all = new SectionList()
		soma all.append()
		for i=0, 3 gcdend1 [i] all.append()
		for i=0, 3 gcdend2 [i] all.append()

	gcldend  = new SectionList()
		gcdend1 [0] gcldend.append()
		gcdend2 [0] gcldend.append()

	pdend  = new SectionList()
		gcdend1 [1] pdend.append()
		gcdend2 [1] pdend.append()

	mdend  = new SectionList()
		gcdend1 [2] mdend.append()
		gcdend2 [2] mdend.append()

	ddend  = new SectionList()
		gcdend1 [3] ddend.append()
		gcdend2 [3] ddend.append()
}
proc gctemp() {

	soma {nseg=1 L=16.8 diam=16.8} // changed L & diam
		
	gcdend1 [0] {nseg=1 L=50 diam=3}
	for i = 1, 3	gcdend1 [i] {nseg=1 L=150 diam=3}

	gcdend2 [0] {nseg=1 L=50 diam=3}
	for i = 1, 3	gcdend2 [i] {nseg=1 L=150 diam=3}	 	

    
	forsec all {
		insert ccanl
		catau_ccanl = 10
		caiinf_ccanl = 5.e-6
		Ra=210
	}

	soma {
                cm=1	

		insert ichan2  //ildikos ichan
		   gnatbar_ichan2=0.12  //original 0.030 to .055 
		   gkfbar_ichan2=0.016  //original 0.015
	           gksbar_ichan2=0.006
	           gl_ichan2 = 0.00004
	
		insert borgka
	           gkabar_borgka=0.012
		
		insert nca  // HAV-N- Ca channel
	           gncabar_nca=0.002  // check to modify- original 0.004
	
	 	insert lca 
	           glcabar_lca=0.005
	
		insert cat
	           gcatbar_cat=0.000037
	
		insert gskch
		   gskbar_gskch=0.001
	
		insert cagk
		   gkbar_cagk=0.0006


	} 

	forsec gcldend {
                cm=1

		insert ichan2
		   gnatbar_ichan2=0.018  //original 0.015
		   gkfbar_ichan2=0.004
		   gksbar_ichan2=0.006
		   gl_ichan2 = 0.00004
		insert nca  // HAV-N- Ca channel
	           gncabar_nca=0.003  // check to modify- original 0.004
		insert lca 
		   glcabar_lca=0.0075
		insert cat
		   gcatbar_cat=0.000075
		insert gskch
		   gskbar_gskch=0.0004
		insert cagk
		   gkbar_cagk=0.0006
	}
		
	forsec pdend {
                cm=1.6

		insert ichan2
		   gnatbar_ichan2=0.013
		   gkfbar_ichan2=0.004
		   gksbar_ichan2=0.006
		   gl_ichan2 = 0.000063
		insert nca  // HAV-N- Ca channel
		   gncabar_nca=0.001  // check to modify- original 0.004
		insert lca 
		   glcabar_lca=0.0075
		insert cat
		   gcatbar_cat=0.00025
		insert gskch
		   gskbar_gskch=0.0002
		insert cagk
		   gkbar_cagk=0.001
	}
		
	 forsec mdend {
                cm=1.6

	 	insert ichan2
		   gnatbar_ichan2=0.008
		   gkfbar_ichan2=0.001
		   gksbar_ichan2=0.006
		   gl_ichan2 = 0.000063

		insert nca  // HAV-N- Ca channel
		   gncabar_nca=0.001  // check to modify- original 0.004
		insert lca 
		   glcabar_lca=0.0005
		insert cat
		   gcatbar_cat=0.0005
		insert gskch
		   gskbar_gskch=0.0
		insert cagk
		   gkbar_cagk=0.0024

	}

	forsec ddend {
                cm=1.6

		insert ichan2
		   gnatbar_ichan2=0.0
		   gkfbar_ichan2=0.001
		   gksbar_ichan2=0.008
		   gl_ichan2 = 0.000063

		insert nca  // HAV-N- Ca channel
		   gncabar_nca=0.001  // check to modify- original 0.004
		insert lca 
		   glcabar_lca=0.0
		insert cat
		   gcatbar_cat=0.001
		insert gskch
		   gskbar_gskch=0.0
		insert cagk
		   gkbar_cagk=0.0024

	}
		
	forsec all {
		enat = 45 
		ekf = -90 
		eks = -90  
		ek=-90  
		elca=130 
		etca=130	 
		esk=-90
		el_ichan2 =-70
		cao_ccanl=2 
	}  // make catau slower70e-3 	cao=2 cai=50.e-6 

		
	connect gcdend1[0](0), soma(1)
	connect gcdend2[0](0), soma(1)
	for i=1,3 {
		connect gcdend1[i](0), gcdend1[i-1](1)
	}
	for i=1,3 {
		connect gcdend2[i](0), gcdend2[i-1](1)
	}


// current injection
//for i=0,0 {
//stimdel[i]=500
//stimdur[i]=200
//stimamp[i]=0.2

//soma stim[i] = new IClamp(0.5)
//stim.del[i]=stimdel[i]
//stim.dur[i]=stimdur[i]
//stim.amp[i]=stimamp[i]
//}


}
	
obfunc connect2target() { localobj nc //$o1 target point process, optional $o2 returned NetCon
  	soma nc = new NetCon(&v(1), $o1)
  	nc.threshold = -10
  	if (numarg() == 2) { $o2 = nc } // for backward compatibility
  	return nc
}

objref syn_
proc synapse() {
	gcdend1[3] syn_ = new Exp2Syn(0.5) // PP syn_ based on Greg and Staley
	syn_.tau1 = 1.5	
	syn_.tau2 = 5.5	
	syn_.e = 0
	pre_list.append(syn_)

	gcdend2[3] syn_ = new Exp2Syn(0.5) // PPsyn based on Greg and Staley
	syn_.tau1 = 1.5	
	syn_.tau2 = 5.5	
	syn_.e = 0
	pre_list.append(syn_)

	gcdend1[1] syn_ = new Exp2Syn(0.5) // MC syn_ *** Estimated
	syn_.tau1 = 1.5	
	syn_.tau2 = 5.5	
	syn_.e = 0
	pre_list.append(syn_)

	gcdend2[1] syn_ = new Exp2Syn(0.5) // MC syn_   *** Estimated
	syn_.tau1 = 1.5	
	syn_.tau2 = 5.5	
	syn_.e = 0
	pre_list.append(syn_)

	gcdend1[2] syn_ = new Exp2Syn(0.5) // HIPP  syn_ based on Harney and Jones corrected for temp
	syn_.tau1 = 0.5	
	syn_.tau2 = 6	
	syn_.e = -70
	pre_list.append(syn_)

	gcdend2[2] syn_ = new Exp2Syn(0.5) // HIPP syn_ based on Harney and Jones corrected for temp
	syn_.tau1 = 0.5	
	syn_.tau2 = 6	
	syn_.e = -70
	pre_list.append(syn_)

	soma syn_ = new Exp2Syn(0.5) // BC  syn_ based on Bartos
	syn_.tau1 = 0.26	
	syn_.tau2 = 5.5	
	syn_.e = -70
	pre_list.append(syn_)

	gcdend1[1] syn_ = new Exp2Syn(0.5) // Sprouted Syn*************
	syn_.tau1 = 1.5	
	syn_.tau2 = 5.5	
	syn_.e = 0
	pre_list.append(syn_)

	gcdend2[1] syn_ = new Exp2Syn(0.5) // Sprouted Syn*********
	syn_.tau1 = 1.5	
	syn_.tau2 = 5.5	
	syn_.e = 0
	pre_list.append(syn_)



// Total of 11 synapses per GC 0,1 PP; 		2,3 MC;		4,5 HIPP;  	6 BC;		7,8 Sprout 
}

func is_art() { return 0 }

endtemplate GranuleCell