Encoding and retrieval in a model of the hippocampal CA1 microcircuit (Cutsuridis et al. 2009)

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Accession:123815
This NEURON code implements a small network model (100 pyramidal cells and 4 types of inhibitory interneuron) of storage and recall of patterns in the CA1 region of the mammalian hippocampus. Patterns of PC activity are stored either by a predefined weight matrix generated by Hebbian learning, or by STDP at CA3 Schaffer collateral AMPA synapses.
Reference:
1 . Cutsuridis V, Cobb S, Graham BP (2010) Encoding and retrieval in a model of the hippocampal CA1 microcircuit. Hippocampus 20:423-46 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Hippocampus CA1 pyramidal cell; Hippocampus CA1 basket cell;
Channel(s):
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Pattern Recognition; Activity Patterns; Temporal Pattern Generation; Learning; STDP; Connectivity matrix; Storage/recall;
Implementer(s): Graham, Bruce [B.Graham at cs.stir.ac.uk]; Cutsuridis, Vassilis [vcutsuridis at gmail.com];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal cell; GabaA; AMPA; NMDA;
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Hipp_paper_code
Results
Weights
readme.txt
ANsyn.mod *
bgka.mod *
burststim2.mod *
cad.mod *
cagk.mod *
cal.mod *
calH.mod *
car.mod *
cat.mod *
ccanl.mod *
gskch.mod *
h.mod *
hha_old.mod *
hha2.mod *
hNa.mod *
IA.mod *
ichan2.mod *
Ih.mod *
kad.mod *
kap.mod *
Kaxon.mod *
kca.mod *
Kdend.mod *
km.mod *
Ksoma.mod *
LcaMig.mod *
my_exp2syn.mod *
Naaxon.mod *
Nadend.mod *
Nasoma.mod *
nca.mod *
nmda.mod *
regn_stim.mod *
somacar.mod *
STDPE2Syn.mod *
axoaxonic_cell17S.hoc *
basket_cell17S.hoc *
bistratified_cell13S.hoc *
burst_cell.hoc *
HAM_SR.ses
HAM_StoRec_par.hoc
HAM_StoRec_ser.hoc
mosinit.hoc
olm_cell2.hoc
pyramidal_cell_14Vb.hoc
ranstream.hoc *
stim_cell.hoc *
                            
TITLE  H-current that uses Na ions (Poirazi)

NEURON {
	SUFFIX hNa
        RANGE  gbar,vhalf, K, taun, ninf, g  
	USEION na READ ena WRITE ina      
:	NONSPECIFIC_CURRENT i
}

UNITS {
	(um) = (micrometer)
	(mA) = (milliamp)
	(uA) = (microamp)
	(mV) = (millivolt)
	(pmho) = (picomho)
	(mmho) = (millimho)
}

INDEPENDENT {t FROM 0 TO 1 WITH 100 (ms)}

PARAMETER {              : parameters that can be entered when function is called in cell-setup
        dt             (ms)
	v              (mV)
        ena    = 50    (mV)
        eh     = -10   (mV)
	K      = 8.5   (mV)
:	gbar   = 0.1   (mmho/cm2) : suggested somatic value, the dendritic value is ~6x higher
	gbar   = 0     (mho/cm2)  : initialize conductance to zero
	vhalf  = -90   (mV)       : half potential
}	


STATE {                : the unknown parameters to be solved in the DEs
	n
}

ASSIGNED {             : parameters needed to solve DE
	ina (mA/cm2)
	ninf
	taun (ms)
	g
}

        


INITIAL {               : initialize the following parameter using states()
	states()	
	n = ninf
	g = gbar*n
:	ina = g*(v-ena)*(0.001)   :0.001 used to fix units of g (given in mho/cm2 to mmho/cm2)
	ina = g*(v-eh)*0.001            :0.001 used to fix units of g (given in mmho/cm2 to mho/cm2)
}


BREAKPOINT {
	SOLVE h METHOD derivimplicit
	g = gbar*n
:	ina = g*(v-ena)*(0.001)   :0.001 used to fix units of g (given in mmho/cm2 to mho/cm2)
	ina = g*(v-eh)*0.001            :0.001 used to fix units of g (given in mmho/cm2 to mho/cm2)
}

DERIVATIVE h {
	states()
        n' = (ninf - n)/taun
}

PROCEDURE states() {  
 
 	if (v > -30) {
	   taun = 1
	} else {
           taun = 2*(1/(exp((v+145)/-17.5)+exp((v+16.8)/16.5)) + 5) :h activation tau

	}  
         ninf = 1 - (1 / (1 + exp((vhalf - v)/K)))                  :steady state value
}