Layer V PFC pyramidal neuron used to study persistent activity (Sidiropoulou & Poirazi 2012)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:144089
"... Here, we use a compartmental modeling approach to search for discriminatory features in the properties of incoming stimuli to a PFC pyramidal neuron and/or its response that signal which of these stimuli will result in persistent activity emergence. Furthermore, we use our modeling approach to study cell-type specific differences in persistent activity properties, via implementing a regular spiking (RS) and an intrinsic bursting (IB) model neuron. ... Collectively, our results pinpoint to specific features of the neuronal response to a given stimulus that code for its ability to induce persistent activity and predict differential roles of RS and IB neurons in persistent activity expression. "
Reference:
1 . Sidiropoulou K, Poirazi P (2012) Predictive features of persistent activity emergence in regular spiking and intrinsic bursting model neurons. PLoS Comput Biol 8:e1002489 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neocortex L5/6 pyramidal GLU cell;
Channel(s): I Na,p; I Na,t; I L high threshold; I A; I K; I K,Ca; I CAN;
Gap Junctions:
Receptor(s): GabaA; GabaB; AMPA; NMDA; IP3;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Detailed Neuronal Models;
Implementer(s): Sidiropoulou, Kyriaki [sidirop at imbb.forth.gr];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; GabaA; GabaB; AMPA; NMDA; IP3; I Na,p; I Na,t; I L high threshold; I A; I K; I K,Ca; I CAN; Gaba; Glutamate;
/
PFCcell
mechanism
.AppleDouble
ampa.mod
cad.mod
cal.mod
can.mod *
car.mod *
cat.mod *
d3.mod *
gabaa.mod *
gabab.mod *
h.mod
ican.mod
kadist.mod *
kca.mod *
kct.mod *
kd.mod
kdrD.mod *
km.mod *
naf.mod
nap.mod *
netstimmm.mod
NMDA.mod
sinclamp.mod
.directory
                            
: Delayed rectifier K+ channel

NEURON {
	SUFFIX kdr
	USEION k READ ek  WRITE ik
	RANGE gkdrbar, ik, gk
	
}

UNITS {
	(mA) = (milliamp)
	(mV) = (millivolt)
	
}

INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
PARAMETER {
	v (mV)
	dt (ms)
	gkdrbar = 0
	:gbar= 0.0338 (mho/cm2) <0,1e9>
	
	
}

STATE {
	n
}

ASSIGNED {
	ik (mA/cm2)
	inf
	tau (ms)
	gk (mho/cm2)
	ek (mV)
	:ki (mM)
	:ko (mM)

}


INITIAL {
	rate(v)
	n = inf
}

BREAKPOINT {
	SOLVE states METHOD cnexp
	gk= gkdrbar*n*n*n*n
	:ek = 25 * log(ko/ki)
	ik = gk*(v-ek)
	
}

DERIVATIVE states {
	rate(v)
	n' = (inf-n)/tau
}

UNITSOFF

FUNCTION alf(v){ LOCAL va 
	
	   va=v-13  :13
	if (fabs(va)<1e-04){
	   va=va+0.0001
		alf= (-0.018*va)/(-1+exp(-(va/25)))
	} else {
	  	alf = (-0.018*(v-13))/(-1+exp(-((v-13)/25)))
	}
}


FUNCTION bet(v) { LOCAL vb 
	
	  vb=v-23	:23
	if (fabs(vb)<1e-04){
	  vb=vb+0.0001
		bet= (0.0054*vb)/(-1+exp(vb/12))
	} else {
	  	bet = (0.0054*(v-23))/(-1+exp((v-23)/12))
	}
}	






PROCEDURE rate(v (mV)) {LOCAL q10, sum, aa, ab
	
	aa=alf(v) ab=bet(v) 
	
	sum = (aa+ab)
	inf = aa/sum
	tau = 1/(sum)
	
	
}

UNITSON