Dendritic Impedance in Neocortical L5 PT neurons (Kelley et al. 2021)

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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 125:1501-1516 [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): 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;
//Author: Etay Hay, 2011
//  Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of
//  Dendritic and Perisomatic Active Properties
//  (Hay et al., PLoS Computational Biology, 2011) 
//
// A simulation of L5 Pyramidal Cell under a prolonged step current

load_file("nrngui.hoc")

objref cvode
cvode = new CVode()
cvode.active(1)

//======================== settings ===================================

v_init = -80

//step 1: 0.619
//step 2: 0.793
//step 3: 1.507
step_amp = 0.793
tstop = 3000

//=================== creating cell object ===========================
load_file("import3d.hoc")
objref L5PC

strdef morphology_file
morphology_file = "../morphologies/cell1.asc"

load_file("../models/L5PCbiophys3.hoc")
load_file("../models/L5PCtemplate.hoc")
L5PC = new L5PCtemplate(morphology_file)

//==================== stimulus settings ===========================

objref st1

st1 = new IClamp(0.5)
st1.dur = 2000
st1.del = 700
st1.amp = step_amp

L5PC.soma st1

//==================== recording settings ==========================
objref vvec, tvec

vvec = new Vector()
tvec = new Vector()

access L5PC.soma
cvode.record(&v(0.5),vvec,tvec)

objref apcvec, apc
apcvec = new Vector()
apc = new APCount(0.5)
apc.thresh= -10
apc.record(apcvec)

//======================= plot settings ============================

objref gV

gV = new Graph()
gV.size(0,tstop,-80,40)
graphList[0].append(gV)
access L5PC.axon
access L5PC.soma
gV.addvar("soma","v(0.5)",1,1)

//============================= simulation ================================
init()
run()

print "spike count = ", apcvec.size()