Axon-somatic back-propagation in a detailed model of cat spinal motoneuron (Balbi et al, 2015)

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Accession:180370
Morphologically detailed conductance-based models of cat spinal alpha motoneurons have been developed, with the aim to reproduce and clarify some aspects of the electrophysiological behavior of the antidromic axon-somatic spike propagation. Fourteen 3D morphologically detailed somata and dendrites of cat spinal alpha motoneurons have been imported from an open-access web-based database of neuronal morphologies, NeuroMorpho.org, and instantiated in neurocomputational models.
Reference:
1 . Balbi P, Martinoia S, Massobrio P (2015) Axon-somatic back-propagation in detailed models of spinal alpha motoneurons. Front Comput Neurosci 9:15 [PubMed]
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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: Spinal motoneuron;
Cell Type(s): Spinal cord lumbar motor neuron alpha ACh cell;
Channel(s): I Na,p; I Na,t; I K; I h; I K,Ca; I Calcium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s):
Implementer(s): Balbi, Pietro [piero.balbi at fsm.it];
Search NeuronDB for information about:  Spinal cord lumbar motor neuron alpha ACh cell; I Na,p; I Na,t; I K; I h; I K,Ca; I Calcium;
/*

File iniziale per lo studio del motoneurone spinale

Balbi, marzo 2013 - settembre 2013

*/

load_file("nrngui.hoc")

objref sh, box1, box2, gr1, gr2 // variabili per i grafici iniziali
strdef curr_mod // variabile stringa per il modello in esecuzione

box1 = new VBox()

// paragrafo per l'inizializzazione ad uno steady state (precedentemente creato)
// se non utilizzato settare flag_svstate=1

objref svstate, f
strdef filename
svstate = new SaveState()

proc init() {
	finitialize(v_init)
	if (flag_svstate==0) {svstate.restore()}
	t=0
	if (cvode.active()) {
		cvode.re_init()
	} else {
		fcurrent()
	}
	frecord_init()
}

// fine paragrafo

proc load_cell() { // loading soma and dendrites

	forall delete_section() // cancella le sezioni di precedenti modelli
	curr_mod = $s1
	chdir("../cat_spinal_mn/")
	load_file(1,curr_mod)
	chdir("../channels/") // ritorna alla directory iniziale
	
	box2 = new VBox(2)
	box2.intercept(1)
	sh = new Shape()
	box2.intercept(0)
	box2.map("Shape",500,25,350,350)

}

proc compl() { // completamento dei singoli neuroni (con i rispettivi steady-states)

	chdir("../")
	load_file(1,"2_complete_cell.hoc")
	chdir("channels/")
	
//  load save-states, utilizzando l'argomento della procedura

	sprint(filename,"state%g.dat",$1)
	chdir("../States/")
	f = new File(filename)
	svstate.fread(f)
	chdir("../channels/")
}

// controlli

celsius=37

{
xpanel("RunControl", 0)
v_init = -70
xvalue("Init","v_init", 1,"stdinit()", 1, 1 )
xbutton("Init & Run","run()")
xbutton("Stop","stoprun=1")
runStopAt = 5
xvalue("Continue til","runStopAt", 1,"{continuerun(runStopAt) stoprun=1}", 1, 1 )
runStopIn = 1
xvalue("Continue for","runStopIn", 1,"{continuerun(t + runStopIn) stoprun=1}", 1, 1 )
xbutton("Single Step","steprun()")
t = 1
xvalue("t","t", 2 )
tstop = 20
xvalue("Tstop","tstop", 1,"tstop_changed()", 0, 1 )
dt = 0.025
xvalue("dt","dt", 1,"setdt()", 0, 1 )
steps_per_ms = 40
xvalue("Points plotted/ms","steps_per_ms", 1,"setdt()", 0, 1 )
screen_update_invl = 0.2
xvalue("Scrn update invl","screen_update_invl", 1,"", 0, 1 )
xcheckbox("Quiet",&stdrun_quiet,"")
realtime = 0
xvalue("Real Time","realtime", 0,"", 0, 1 )
xpanel(45,80)
}

// scegli il motoneurone!

box1.intercept(1)
xpanel("")
xbutton("AlphaMN1","{load_cell(\"AlphaMN1.hoc\") compl(1)}")
xbutton("AlphaMN2","{load_cell(\"AlphaMN2.hoc\") compl(2)}")
xbutton("AlphaMN3","{load_cell(\"AlphaMN3.hoc\") compl(3)}")
xbutton("AlphaMN4","{load_cell(\"AlphaMN4.hoc\") compl(4)}")
xbutton("AlphaMN5","{load_cell(\"AlphaMN5.hoc\") compl(5)}")
xbutton("AlphaMN6","{load_cell(\"AlphaMN6.hoc\") compl(6)}")
xbutton("AlphaMN8","{load_cell(\"AlphaMN8.hoc\") compl(7)}")
xbutton("AlphaMN9","{load_cell(\"AlphaMN9.hoc\") compl(8)}")
xbutton("v_e_moto1","{load_cell(\"v_e_moto1.hoc\") compl(9)}")
xbutton("v_e_moto2","{load_cell(\"v_e_moto2.hoc\") compl(10)}")
xbutton("v_e_moto3","{load_cell(\"v_e_moto3.hoc\") compl(11)}")
xbutton("v_e_moto4","{load_cell(\"v_e_moto4.hoc\") compl(12)}")
xbutton("v_e_moto5","{load_cell(\"v_e_moto5.hoc\") compl(13)}")
xbutton("v_e_moto6","{load_cell(\"v_e_moto6.hoc\") compl(14)}")
xpanel(400,25)
box1.intercept(0)
box1.map("pick up a neuron!",300,25,200,400)