L5 PFC pyramidal neurons (Papoutsi et al. 2017)

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Accession:230811
" ... Here, we use a modeling approach to investigate whether and how the morphology of the basal tree mediates the functional output of neurons. We implemented 57 basal tree morphologies of layer 5 prefrontal pyramidal neurons of the rat and identified morphological types which were characterized by different response features, forming distinct functional types. These types were robust to a wide range of manipulations (distribution of active ionic mechanisms, NMDA conductance, somatic and apical tree morphology or the number of activated synapses) and supported different temporal coding schemes at both the single neuron and the microcircuit level. We predict that the basal tree morphological diversity among neurons of the same class mediates their segregation into distinct functional pathways. ..."
Reference:
1 . Papoutsi A, Kastellakis G, Poirazi P (2017) Basal tree complexity shapes functional pathways in the prefrontal cortex. J Neurophysiol 118:1970-1983 [PubMed]
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: Prefrontal cortex (PFC);
Cell Type(s): Neocortex L5/6 pyramidal GLU cell;
Channel(s): I A; I h; I L high threshold; I T low threshold; I N; I R; I K,Ca; I_AHP; I_Ks; I Na,p; I Na,t; I K;
Gap Junctions:
Receptor(s): AMPA; NMDA; GabaA; GabaB;
Gene(s):
Transmitter(s): Glutamate; Gaba;
Simulation Environment: NEURON;
Model Concept(s): Active Dendrites; Detailed Neuronal Models;
Implementer(s): Papoutsi, Athanasia [athpapoutsi at gmail.com];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; GabaA; GabaB; AMPA; NMDA; I Na,p; I Na,t; I L high threshold; I N; I T low threshold; I A; I K; I h; I K,Ca; I_Ks; I R; I_AHP; Gaba; Glutamate;
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PapoutsiEtAl2017
mod_files
ampa.mod
ampain.mod
cad.mod
cal.mod
can.mod *
car.mod *
cat.mod *
gabaa.mod *
gabaain.mod
gabab.mod *
h.mod
iks_in.mod
kadist.mod *
kca.mod *
kct.mod *
kd.mod
kdr_in.mod
kdrD.mod *
naf.mod
naf_in.mod
nap.mod *
NMDA.mod
NMDA_syn.mod
vecstim.mod
                            
TITLE Slow Ca-dependent potassium current
:
:   Ca++ dependent K+ current responsible for slow AHP

NEURON {
	SUFFIX kca
	USEION k READ ek WRITE ik
	USEION ca READ cai
	RANGE  gbar, po, ik
	GLOBAL m_inf, tau_m
}


UNITS {
	(mA) = (milliamp)
	(mV) = (millivolt)
	(molar) = (1/liter)
	(mM) = (millimolar)
}

ASSIGNED {       : parameters needed to solve DE
	v               (mV)
	celsius         (degC)
:	ek              (mV)
	cai             (mM)           : initial [Ca]i
	ik              (mA/cm2)
	po
	m_inf
	tau_m           (ms)
:	h_inf				:inactivation 
:	tau_h		(ms)
:	taumin
}

PARAMETER {
	gbar    = 10   (mho/cm2)
        ek	 	(mV)
	taumin  = 150	(ms)  :(150)
	b 	= 0.008 (/ms)  : changed oct 17, 2006 for pfc (0.3)
	:b 	= 0.8		: value for CA1 neuron(2006)
:	tau_h	= 300	(ms)
}


STATE {
	m   
}

BREAKPOINT { 
	SOLVE states METHOD cnexp
	po = m*m
	ik = gbar*po*(v - ek)    : potassium current induced by this channel
}

DERIVATIVE states {
	rates(cai)
:	m'=(-1/(tau_m))*(m-(m_inf)) 

	m' = (m_inf - m) / tau_m : old equation
:	h'=(h_inf - h)/tau_h	
	
} 


INITIAL {
	rates(cai)
	m = 0
:	m = m_inf

:	h = h_inf
}


PROCEDURE rates(cai(mM)) { 
	LOCAL a
:	a=100
:	m_inf=(a*cai*cai)/(a*cai*cai+b)
:	tau_m=(1/(a*cai*cai+b))
	
:old equations	
	a = cai/b
	m_inf = a/(a+1)
:	tau_m=600
	tau_m = taumin+ 1(ms)*1(mM)*b/(cai+b)

:inactivation
:	h_inf= ah/(ah+1)
}

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