Distinct current modules shape cellular dynamics in model neurons (Alturki et al 2016)

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Accession:223649
" ... We hypothesized that currents are grouped into distinct modules that shape specific neuronal characteristics or signatures, such as resting potential, sub-threshold oscillations, and spiking waveforms, for several classes of neurons. For such a grouping to occur, the currents within one module should have minimal functional interference with currents belonging to other modules. This condition is satisfied if the gating functions of currents in the same module are grouped together on the voltage axis; in contrast, such functions are segregated along the voltage axis for currents belonging to different modules. We tested this hypothesis using four published example case models and found it to be valid for these classes of neurons. ..."
Reference:
1 . Alturki A, Feng F, Nair A, Guntu V, Nair SS (2016) Distinct current modules shape cellular dynamics in model neurons. Neuroscience 334:309-331 [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: Hippocampus; Amygdala;
Cell Type(s): Abstract single compartment conductance based cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Simplified Models; Activity Patterns; Oscillations; Methods; Olfaction;
Implementer(s):
/
AlturkiEtAl2016
2_Pospischil
Original
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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