Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. accepted)

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Accession:266851
We simulated chirp current stimulation in the apical dendrites of 5 biophysically-detailed multi-compartment models of neocortical pyramidal tract neurons and found that a combination of HCN channels and TASK-like channels produced the best fit to experimental measurements of dendritic impedance. We then explored how HCN and TASK-like channels can shape the dendritic impedance as well as the voltage response to synaptic currents.
Reference:
1 . Kelley C, Dura-Bernal S, Neymotin SA, Antic SD, Carnevale NT, Migliore M, Lytton WW (2021) Effects of Ih and TASK-like shunting current on dendritic impedance in layer 5 pyramidal-tract neurons. J Neurophysiology (accepted)
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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): Neocortex L5/6 pyramidal GLU cell; Neocortex M1 L5B pyramidal pyramidal tract GLU cell;
Channel(s): I h; TASK channel;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON; Python; NetPyNE;
Model Concept(s): Impedance;
Implementer(s): Kelley, Craig;
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; Neocortex M1 L5B pyramidal pyramidal tract GLU cell; I h; TASK channel;
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L5PYR_Resonance-master
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AckerAntic
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glutamate.mod *
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hin.mod *
Ih.mod *
IKsin.mod *
IL.mod *
kadist.mod *
kapin.mod *
kaprox.mod *
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MyExp2SynBB.mod *
na.mod *
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NMDA.mod *
NMDAeee.mod *
NMDAmajor.mod
PlateauConductance.mod *
SK_E2.mod *
vecstim.mod *
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ghk.inc *
                            
: $Id: MyExp2SynBB.mod,v 1.4 2010/12/13 21:27:51 samn Exp $ 
NEURON {
:  THREADSAFE
  POINT_PROCESS MyExp2SynBB
  RANGE tau1, tau2, e, i, g, Vwt, gmax
  NONSPECIFIC_CURRENT i
}

UNITS {
  (nA) = (nanoamp)
  (mV) = (millivolt)
  (uS) = (microsiemens)
}

PARAMETER {
  tau1=.1 (ms) <1e-9,1e9>
  tau2 = 10 (ms) <1e-9,1e9>
  e=0	(mV)
  gmax = 1e9 (uS)
  Vwt   = 0 : weight for inputs coming in from vector
}

ASSIGNED {
  v (mV)
  i (nA)
  g (uS)
  factor
  etime (ms)
}

STATE {
  A (uS)
  B (uS)
}

INITIAL {
  LOCAL tp

  Vwt = 0    : testing

  if (tau1/tau2 > .9999) {
    tau1 = .9999*tau2
  }
  A = 0
  B = 0
  tp = (tau1*tau2)/(tau2 - tau1) * log(tau2/tau1)
  factor = -exp(-tp/tau1) + exp(-tp/tau2)
  factor = 1/factor
}

BREAKPOINT {
  SOLVE state METHOD cnexp
  g = B - A
  if (g>gmax) {g=gmax}: saturation
  i = g*(v - e)
}

DERIVATIVE state {
  A' = -A/tau1
  B' = -B/tau2
}

NET_RECEIVE(w (uS)) {LOCAL ww
  ww=w
  A = A + ww*factor
  B = B + ww*factor
}