Hodgkin-Huxley models of different classes of cortical neurons (Pospischil et al. 2008)

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Accession:123623
"We review here the development of Hodgkin- Huxley (HH) type models of cerebral cortex and thalamic neurons for network simulations. The intrinsic electrophysiological properties of cortical neurons were analyzed from several preparations, and we selected the four most prominent electrophysiological classes of neurons. These four classes are 'fast spiking', 'regular spiking', 'intrinsically bursting' and 'low-threshold spike' cells. For each class, we fit 'minimal' HH type models to experimental data. ..."
Reference:
1 . Pospischil M, Toledo-Rodriguez M, Monier C, Piwkowska Z, Bal T, Frégnac Y, Markram H, Destexhe A (2008) Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons. Biol Cybern 99:427-41 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Channel/Receptor;
Brain Region(s)/Organism: Neocortex;
Cell Type(s): Neocortex L5/6 pyramidal GLU cell; Neocortex L2/3 pyramidal GLU cell; Neocortex fast spiking (FS) interneuron; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron;
Channel(s): I Na,t; I L high threshold; I T low threshold; I K; I M;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Parameter Fitting; Simplified Models;
Implementer(s): Destexhe, Alain [Destexhe at iaf.cnrs-gif.fr];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; Neocortex L2/3 pyramidal GLU cell; I Na,t; I L high threshold; I T low threshold; I K; I M;
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PospischilEtAl2008
README.html *
cadecay_destexhe.mod *
HH_traub.mod *
IL_gutnick.mod
IM_cortex.mod *
IT_huguenard.mod *
demo_IN_FS.hoc *
demo_PY_IB.hoc *
demo_PY_IBR.hoc *
demo_PY_LTS.hoc *
demo_PY_RS.hoc *
fig5b.jpg *
mosinit.hoc *
rundemo.hoc *
sIN_template *
sPY_template *
sPYb_template *
sPYbr_template *
sPYr_template *
                            
/*----------------------------------------------------------------------------

  DEMO OF SIMPLIFIED HODGKIN-HUXLEY MODELS OF CORTICAL NEURONS

  Models described in:

   Pospischil, M., Toledo-Rodriguez, M., Monier, C., Piwkowska, Z., 
   Bal, T., Fregnac, Y., Markram, H. and Destexhe, A.
   Minimal Hodgkin-Huxley type models for different classes of
   cortical and thalamic neurons.
   Biological Cybernetics 99: 427-441, 2008.

        Alain Destexhe, CNRS, 2009
	http://cns.iaf.cnrs-gif.fr

----------------------------------------------------------------------------*/

load_file("nrngui.hoc")

//----------------------------------------------------------------------------
//  define a panel to run the different demos
//----------------------------------------------------------------------------

proc make_demopanel() {
	xpanel("Simulations of cortical cells")
	xradiobutton("Regular-spiking pyramidal cell","restart(\"demo_PY_RS\")",1)
	xradiobutton("Bursting pyramidal cell","restart(\"demo_PY_IB\")")
	xradiobutton("Repetivive bursting pyramidal cell","restart(\"demo_PY_IBR\")")
	xradiobutton("LTS pyramidal cell","restart(\"demo_PY_LTS\")")
        xradiobutton("Fast-spiking interneuronl","restart(\"demo_IN_FS\")")
	xpanel(20,100)
}

proc restart() {local i

	ismenu = 0

	if (electrodes_present) {
		destroy_elec()
	}

	forall delete_section()

	for i=0, n_graph_lists-1 {
		graphList[i].remove_all()
	}
	flush_list.remove_all()
	fast_flush_list.remove_all()
	doNotify()
	for (i= PWManager[0].count-1; i >= pwmcnt; i -= 1) {
		PWManager[0].close(i)
		doNotify()
	}
	stoprun = 0
	cvode_active(0)

	ismenu=0
	
	sprint(tstr, "%s.hoc", $s1)
	load_file(1, tstr)
}


ismenu=0

load_file("nrngui.hoc")

strdef tstr
ncells=1
objref El[ncells]

electrodes_present=0	// after electrodes are created they must be
			// destroyed if simulation restarted

proc destroy_elec() {
	execute("objref stim, vc",El[0])
}

pwmcnt = PWManager[0].count  // the initial GUIs should not be dismissed

make_demopanel()

// starting with the first demo avoids an error of when the second
// demo is selected first

restart("demo_PY_RS")

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