A model of closed-loop motor unit including muscle spindle feedback (Kim, 2020)

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Persistent inward current generating ion channels are located over spinal motoneurons and actively recruited during normal behaviors. Constructing a realistic computational model of closed-loop motor unit, a motoneuron and muscle fibers that it innervates including muscle spindle afferents, the study reveals functional linkage between persistent inward current location, motoneuron discharge pattern and muscle force output at various muscle lengths. This systematic analysis may provide useful insights into interplay of spinal and muscular mechanisms in control of movements.
1 . Kim H (2020) Linking Motoneuron PIC Location to Motor Function in Closed-Loop Motor Unit System Including Afferent Feedback: A Computational Investigation. eNeuro [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: Spinal motoneuron;
Cell Type(s):
Channel(s): I Calcium; I Potassium; I Sodium; I_AHP;
Gap Junctions:
Gene(s): Cav1.3 CACNA1D;
Simulation Environment: NEURON;
Model Concept(s): Motor control;
Implementer(s): Kim, Hojeong [hojeong.kim03 at gmail.com];
Search NeuronDB for information about:  I Sodium; I Calcium; I Potassium; I_AHP;
Ca_conc.mod *
CaL.mod *
CaN.mod *
KCa.mod *
KDr.mod *
module1_2.mod *
module3.mod *
Naf.mod *
Nap.mod *
Xm.mod *
add_hil_is.hoc *
add_muscle_unit.hoc *
Ca_conc.o *
CaL.o *
CaN.o *
fixnseg.hoc *
KCa.o *
KDr.o *
mem_mechanism_acti.hoc *
mem_mechanism_muscle.hoc *
mem_mechanism_pass.hoc *
module1_2.o *
module3.o *
Naf.o *
Nap.o *
v_e_moto6_export.hoc *
Xm.hoc *
Xm.o *
// The distribution and density of the group Ia afferent inputs are set here.
// The group Ia afferent inputs were uniformly distributed over the soma and dendritic sites < 1400 um from the soma.
// The territory for group Ia afferent inputs was adopted from Segev 1990 JNP and Burke 1996 JCN.
// The static density for group Ia afferent inputs was determined from Lee 2003 JNP.
// April 10, 2018 by Hojeong Kim

soma {
   	insert IaSyn_Sinewave
		tp_IaSyn_Sinewave = 2000 //[ms]
		gmax_IaSyn_Sinewave = 19*10^-6 // [S/cm^2] In=5 nA for lengthened length (0 mm)

for i=0, 310 {
	soma distance (0,0)										// set the origin for calculation of path distance	
	dend[i] end = distance(1) 
	if (end < 1400) {                                       // distance at x=1 for the section
		// print i
		dend[i] {
	   		insert IaSyn_Sinewave
				tp_IaSyn_Sinewave = 2000  // [ms]
				gmax_IaSyn_Sinewave = 19*10^-6 // [S/cm^2] In=5 nA for lengthened length (0 mm)

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