Active dendritic action potential propagation (Casale & McCormick 2011)

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Accession:143635
This model explores the dendritic sodium and potassium conductances needed to recapitulate voltage-sensitive dye optical recordings of thalamic interneuron dendrites in the dorsal lateral geniculate nucleus. Model ion channels were selected based on pharmacological data.
Reference:
1 . Casale AE, McCormick DA (2011) Active action potential propagation but not initiation in thalamic interneuron dendrites. J Neurosci 31:18289-302 [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: Thalamus;
Cell Type(s): Thalamus lateral geniculate nucleus interneuron;
Channel(s): I Na,t; I_KHT;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Conductance distributions;
Implementer(s): Casale, Amanda [Amanda.Casale at yale.edu];
Search NeuronDB for information about:  I Na,t; I_KHT;
{load_file("nrngui.hoc")}

create soma, dend[2]
objref vc
soma { nseg=1  L=15  Ra=100
        /*location 0 attached to cell 0*/
        /* First segment only */
        insert morphology { diam=10}
        insert capacitance { cm=1}
		insert pas {g_pas = 0.00005 e_pas = -65}
		insert k_ion {ek = -90}
		insert na_ion {ena = 60}
		insert kht {gkhtbar_kht = 0.05}
		insert na {gbar_na = 200}
}

dend { nseg=50  L=450  Ra=100
        soma connect dend (0), soma (1)
        /* First segment only */
		insert pas {g_pas = 0.00005 e_pas = -65}
		insert k_ion {ek = -90}
		insert na_ion {ena = 60}
		insert kht {gkhtbar_kht = 0.05}
		insert na {gbar_na = 100}
        insert capacitance { cm=2}
        insert morphology { diam=3}
}

dend[1] { nseg=5  L=50  Ra=100
        soma connect dend[1] (0), soma (0)
        /* First segment only */
		insert pas {g_pas = 0.00005 e_pas = -65}
		insert k_ion {ek = -90}
		insert na_ion {ena = 60}
		insert kht {gkhtbar_kht = 0.05}
		insert na {gbar_na = 8000}
        insert capacitance { cm=1}
        insert morphology { diam=1}
}
access soma

celsius=35
forall insert mhw
xpanel("measure")
  xbutton("measure", "measure()")
  //xbutton("10 slope_thresh and -40 vtraub","{slope_thresh_mhw=10 vtraub_hh2=-40 tstop=7}")
  xbutton("20 slope_thresh","{slope_thresh_mhw=20 tstop=10}")
  xbutton("graph delta t","graph_deltat()")
  xbutton("graph m_inf, tau_m","m_graphs()")
  xbutton("graph h_inf, tau_h","h_graphs()")
  xbutton("graph n_inf, tau_n","n_graphs()")
xpanel()
proc measure() {
  {mode_mhw=1 init() run() mode_mhw=2 init() run()}
  for i=1,3 {
    Graph[i].exec_menu("View = plot")
  }
}
slope_thresh_mhw=20
dend.diam(0:1) = 3.5:1.5
dend.gbar_na(0:1) = 0:0
dend.gkhtbar_kht(0:1) = .025:.0125



soma distance() // initialize the distance function


objref delta_t
objref d_vec

objref deltatg

proc graph_deltat() {
  d_vec=new Vector()
  delta_t=new Vector()

  deltatg=new Graph()

  dend for(x,0) {
    d_vec.append(distance(x))
    delta_t.append(t0_mhw(x)-soma.t0_mhw(.5))
  }

  delta_t.line(deltatg, d_vec)
  deltatg.exec_menu("View = plot")
}

objref v_vec
objref m_inf_vec, h_inf_vec, n_inf_vec
objref tau_m_vec, tau_h_vec, tau_n_vec
objref m_inf_graph, tau_m_graph, h_inf_graph, tau_h_graph, n_inf_graph, tau_n_graph

v_vec=new Vector()
for i=-120,60 {
  v_vec.append(i+.5)
}

proc m_graphs() {
  m_inf_vec = new Vector()
  tau_m_vec = new Vector()
  for i=-100,50 {
    v_init=i+.5
    init()
    m_inf_vec.append(minf_na)
    tau_m_vec.append(mtau_na)
  }

  m_inf_graph = new Graph()
  tau_m_graph = new Graph()

  m_inf_vec.line(m_inf_graph, v_vec)
  tau_m_vec.line(tau_m_graph, v_vec)

  m_inf_graph.exec_menu("View = plot")
  tau_m_graph.exec_menu("View = plot")
}
proc h_graphs() {
  h_inf_vec = new Vector()
  tau_h_vec = new Vector()
  for i=-100,50 {
    v_init=i+.5
    init()
    h_inf_vec.append(hinf_na)
    tau_h_vec.append(htau_na)
  }

  h_inf_graph = new Graph()
  tau_h_graph = new Graph()

  h_inf_vec.line(h_inf_graph, v_vec)
  tau_h_vec.line(tau_h_graph, v_vec)

  h_inf_graph.exec_menu("View = plot")
  tau_h_graph.exec_menu("View = plot")
}

proc n_graphs() {
  n_inf_vec = new Vector()
  tau_n_vec = new Vector()
  for i=-100,50 {
    v_init=i+.5
    init()
    n_inf_vec.append(ninf_kht)
    tau_n_vec.append(ntau_kht)
  }

  n_inf_graph = new Graph()
  tau_n_graph = new Graph()

  n_inf_vec.line(n_inf_graph, v_vec)
  tau_n_vec.line(tau_n_graph, v_vec)

  n_inf_graph.exec_menu("View = plot")
  tau_n_graph.exec_menu("View = plot")
}