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

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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.
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]
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:
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;
import sys
from os import listdir, mkdir
import numpy as np
import multiprocessing
from math import nan
from import savemat 

from getCells import M1Cell
s = M1Cell()
sec_num = sys.argv[-2]
loc = float(sys.argv[-1])
from neuron import h 
for sec in h.allsec():
    for seg in sec.allseg():
seg =[0].secs[sec_num]['hObj'](loc)
soma_seg =[0].secs['soma']['hObj'](0.5)
from chirpUtils import applyChirp, getChirp
amp = 0.025
f0, f1, t0, Fs, delay = 0.5, 10, 10, 1000, 5 # for looking at bimodal leading phase response in Hay cell
I, t = getChirp(f0, f1, t0, amp, Fs, delay)
print('running chirp on ' + str(seg))
filename = 'M1_PTcell/nohotzone_trunk_data/'+sec_num+sys.argv[-1]
applyChirp(I, t, seg, soma_seg, t0, delay, Fs, f1, out_file_name=filename)

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