Motoneuron pool input-output function (Powers & Heckman 2017)

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Accession:239582
"Although motoneurons have often been considered to be fairly linear transducers of synaptic input, recent evidence suggests that strong persistent inward currents (PICs) in motoneurons allow neuromodulatory and inhibitory synaptic inputs to induce large nonlinearities in the relation between the level of excitatory input and motor output. To try to estimate the possible extent of this nonlinearity, we developed a pool of model motoneurons designed to replicate the characteristics of motoneuron input-output properties measured in medial gastrocnemius motoneurons in the decerebrate cat with voltage- clamp and current-clamp techniques. We drove the model pool with a range of synaptic inputs consisting of various mixtures of excitation, inhibition, and neuromodulation. We then looked at the relation between excitatory drive and total pool output. Our results revealed that the PICs not only enhance gain but also induce a strong nonlinearity in the relation between the average firing rate of the motoneuron pool and the level of excitatory input. The relation between the total simulated force output and input was somewhat more linear because of higher force outputs in later-recruited units. ..."
Reference:
1 . Powers RK, Heckman CJ (2017) Synaptic control of the shape of the motoneuron pool input-output function. J Neurophysiol 117:1171-1184 [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:
Cell Type(s): Spinal cord lumbar motor neuron alpha ACh cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s):
Implementer(s): Powers, Randy [rkpowers at u.washington.edu];
Search NeuronDB for information about:  Spinal cord lumbar motor neuron alpha ACh cell;
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RPCH_JNP17
FivecomptcMG
FivecomptcMG_10
FivecomptcMG_10.hoc
                            
//uses dpath of 700 from M1   alternative atten fact for ht (more atten)
soma.diam = 23.166350779997085
soma.L = 3055.9510132672403
soma.g_pas = 0.00012418374544394226
soma.e_pas = -71.14579384749963
soma.gbar_na3rp = 0.011749526169995627
soma.gbar_naps = 2.5125236915002184e-05
soma.sh_na3rp = 1.0
soma.sh_naps = 5.0
soma.ar_na3rp = 1.0
soma.ar_naps = 1.0
soma.gMax_kdrRL = 0.015728969237498176
soma.gcamax_mAHP = 6.565583040096539e-06
soma.gkcamax_mAHP = 0.0004718690771249453
soma.taur_mAHP = 52.710307625018224
soma.ek = -80.0
soma.Ra = 0.001
soma.cm = 1.4317203878116345
soma.ghbar_gh = 5.915876949992711e-05
soma.half_gh = -77.0
forsec dend{
L = 1857.2266613208924
diam = 9.193574849103367
g_pas = 9.330360482577635e-05
e_pas = -71.14579384749963
gcabar_L_Ca_inact = 9.951960927248871e-05
Ra = 49.53880186616124
cm = 0.8696217931185304
ghbar_gh = 5.915876949992711e-05
half_gh = -77.0
}
d1.gcabar_L_Ca_inact = 8.981119696748797e-05
d2.gcabar_L_Ca_inact = 9.981119696748797e-05
d3.gcabar_L_Ca_inact = 0.00010554016620498616
d4.gcabar_L_Ca_inact = 0.00012054016620498616
qinf_na3rp = 8.0
thinf_na3rp = -50.0
vslope_naps = 5.0
asvh_naps = -90.0
bsvh_naps = -22.0
mvhalfca_mAHP = -20.0
mtauca_mAHP = 2.0
celsius = 37.0
theta_m_L_Ca_inact = -39.562618457501095
tau_m_L_Ca_inact = 40.0
theta_h_L_Ca_inact = -12.315789473684209
tau_h_L_Ca_inact = 2500.0
kappa_h_L_Ca_inact = 5.0
htau_gh = 30.0
mVh_kdrRL = -21.0
tmin_kdrRL = 0.8
taumax_kdrRL = 20.0
V0 = -11.355153812509112