CA1 pyramidal neuron: depolarization block (Bianchi et al. 2012)

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NEURON files from the paper: On the mechanisms underlying the depolarization block in the spiking dynamics of CA1 pyramidal neurons by D.Bianchi, A. Marasco, A.Limongiello, C.Marchetti, H.Marie,B.Tirozzi, M.Migliore (2012). J Comput. Neurosci. In press. DOI: 10.1007/s10827-012-0383-y. Experimental findings shown that under sustained input current of increasing strength neurons eventually stop firing, entering a depolarization block. We analyze the spiking dynamics of CA1 pyramidal neuron models using the same set of ionic currents on both an accurate morphological reconstruction and on its reduction to a single-compartment. The results show the specic ion channel properties and kinetics that are needed to reproduce the experimental findings, and how their interplay can drastically modulate the neuronal dynamics and the input current range leading to depolarization block.
1 . Bianchi D, Marasco A, Limongiello A, Marchetti C, Marie H, Tirozzi B, Migliore M (2012) On the mechanisms underlying the depolarization block in the spiking dynamics of CA1 pyramidal neurons. J Comput Neurosci 33:207-25 [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: Hippocampus;
Cell Type(s): Hippocampus CA1 pyramidal GLU cell;
Channel(s): I Na,t; I A; I K; I M; I h; I K,Ca; I_AHP;
Gap Junctions:
Receptor(s): GabaA; AMPA; NMDA;
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON; Mathematica;
Model Concept(s): Simplified Models; Depolarization block; Bifurcation;
Implementer(s): Bianchi, Daniela [danielabianchi12 -at-]; Limongiello, Alessandro [alessandro.limongiello at];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; GabaA; AMPA; NMDA; I Na,t; I A; I K; I M; I h; I K,Ca; I_AHP; Gaba; Glutamate;
apical-non-trunk-list.hoc *
apical-tip-list.hoc *
apical-tip-list-addendum.hoc *
apical-trunk-list.hoc *
axon-sec-list.hoc *
basal-paths.hoc *
basal-tree-list.hoc *
cell.hoc *
cell-analysis.hoc *
n123.hoc *
oblique-paths.hoc *
peri-trunk-list.hoc *
soma-list.hoc *
// This function makes a list with all dendritic sections in the apical trunk
// written by Yiota Poirazi, July 2001,

objref apical_trunk_list
apical_trunk_list=new SectionList()

apical_dendrite[0]  apical_trunk_list.append() // 13.40  microns from soma 
apical_dendrite[4]  apical_trunk_list.append() // 46.03 (vertical distance)
apical_dendrite[6]  apical_trunk_list.append() // 45.75
apical_dendrite[14] apical_trunk_list.append() // 52.53
apical_dendrite[15] apical_trunk_list.append() // 58.97
apical_dendrite[16] apical_trunk_list.append() // 70.89
apical_dendrite[22] apical_trunk_list.append() // 72.93
apical_dendrite[23] apical_trunk_list.append() // 74.48
apical_dendrite[25] apical_trunk_list.append() // 93.56
apical_dendrite[26] apical_trunk_list.append() // 98.55
apical_dendrite[27] apical_trunk_list.append() // 121.89
apical_dendrite[41] apical_trunk_list.append() // 144.46
apical_dendrite[42] apical_trunk_list.append() // 142.81
apical_dendrite[46] apical_trunk_list.append() // 156.96
apical_dendrite[48] apical_trunk_list.append() // 162.99
apical_dendrite[56] apical_trunk_list.append() // 179.58
apical_dendrite[58] apical_trunk_list.append() // 180.11
apical_dendrite[60] apical_trunk_list.append() // 210.33
apical_dendrite[62] apical_trunk_list.append() // 222.80
apical_dendrite[64] apical_trunk_list.append() // 233.67
apical_dendrite[65] apical_trunk_list.append() // 252.71
apical_dendrite[69] apical_trunk_list.append() // 292.06
apical_dendrite[71] apical_trunk_list.append() // 324.53 
apical_dendrite[81] apical_trunk_list.append() // 346.84
apical_dendrite[83] apical_trunk_list.append() // 387.00
apical_dendrite[95] apical_trunk_list.append() // 413.05
apical_dendrite[103] apical_trunk_list.append() // 417.73
apical_dendrite[104] apical_trunk_list.append() // 423.75

/* Make a shape graph with apical trunk sections

objref apical_trunk_list_shape
apical_trunk_list_shape=new Shape()

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