Fluctuating synaptic conductances recreate in-vivo-like activity (Destexhe et al 2001)

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Accession:8115
This model (and experiments) reported in Destexhe, Rudolh, Fellous, and Sejnowski (2001) support the hypothesis that many of the characteristics of cortical neurons in vivo can be explained by fast glutamatergic and GABAergic conductances varying stochastically. Some of these cortical neuron characteristics of fluctuating synaptic origin are a depolarized membrane potential, the presence of high-amplitude membrane potential fluctuations, a low input resistance and irregular spontaneous firing activity. In addition, the point-conductance model could simulate the enhancement of responsiveness due to background activity. For more information please contact Alain Destexhe. email: Destexhe@iaf.cnrs-gif.fr
Reference:
1 . Destexhe A, Rudolph M, Fellous JM, Sejnowski TJ (2001) Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. Neuroscience 107:13-24 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s): Neocortex V1 L6 pyramidal corticothalamic GLU cell; Neocortex V1 L2/6 pyramidal intratelencephalic GLU cell;
Channel(s): I Na,t; I K; I M;
Gap Junctions:
Receptor(s): GabaA; AMPA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Simplified Models; Synaptic noise;
Implementer(s): Destexhe, Alain [Destexhe at iaf.cnrs-gif.fr];
Search NeuronDB for information about:  Neocortex V1 L6 pyramidal corticothalamic GLU cell; Neocortex V1 L2/6 pyramidal intratelencephalic GLU cell; GabaA; AMPA; I Na,t; I K; I M;
TITLE Cortical Muscarinic current

COMMENT
-----------------------------------------------------------------------------
	Muscarinic potassium current
	----------------------------

  - noninactivating K+ current responsible for the adaptation of firing rate 
    and the slow afterhyperpolarization (AHP) of cortical pyramidal cells

  - differential equations (HH-like)

  Model from Mainen, Z.M. and Sejnowski, T.J., 1996

  Written by Alain Destexhe, Laval University, 1996
-----------------------------------------------------------------------------
ENDCOMMENT


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

NEURON {
	SUFFIX imZ
	USEION k READ ek WRITE ik
        RANGE gkbar, g, m_inf, tau_m
}

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


PARAMETER {
	v		(mV)
	celsius = 36    (degC)
	ek	= -90	(mV)
	gkbar	= 1e-6	(mho/cm2)
}



STATE {
	m
}

ASSIGNED {
	ik	(mA/cm2)
	m_inf
	tau_m	(ms)
	tadj
	g	(mho/cm2)	: instantaneous conductance
}

BREAKPOINT {
	SOLVE states METHOD cnexp
	g = gkbar * m
	ik = g * (v - ek)
}

DERIVATIVE states { 
	evaluate_fct(v)

	m' = (m_inf - m) / tau_m
}

UNITSOFF
INITIAL {
:
:  The Q10 value is assumed to be 2.3
:
        tadj = 2.3 ^ ((celsius-23)/10)
	evaluate_fct(v)
	m = m_inf
}

PROCEDURE evaluate_fct(v(mV)) {  LOCAL a,b

	a =  1e-4 * (v+30) / ( 1 - exp(-(v+30)/9) )
	b = -1e-4 * (v+30) / ( 1 - exp( (v+30)/9) )

	tau_m = 1 / (a + b) / tadj
	m_inf = a / (a + b)
}
UNITSON



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