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]
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;
# Load in the goods
import numpy as np
import sys
from scipy.io import savemat
from math import nan

# parse cmd line inputs, load PT cell template
## load cell
from getCells import HayCell
pt_cell = HayCell()

## specify stimulated section and soma segment
secList = [pt_cell.apic[89], pt_cell.apic[103]]#, pt_cell.apic[65]]
soma_seg = pt_cell.soma[0](0.5)

# define current stimulus
from chirpUtils import applyChirp
from chirpUtils import getChirp
amp = 0.0025
## f0, f1, t0, Fs, delay = 0.5, 50, 50, 1000, 12 # original for all cells
f0, f1, t0, Fs, delay = 0.5, 100, 100, 1000, 5 # for looking at bimodal leading phase response in Hay cell
I, t = getChirp(f0, f1, t0, amp, Fs, delay)

# define output variables

#main loop
for sec in secList:
    nseg = sec.nseg
    if nseg == 1:
        loc = 0.5
        applyChirp(I, t, sec(loc), soma_seg, t0, delay, Fs, f1, out_file_name='/home/craig_kelley_downstate_edu/L5PYR_Resonance/Hay/Bimodal/' + str(sec(loc)))
    else:
        for loc in np.linspace(1/(nseg+1), nseg/(nseg+1), nseg):
            applyChirp(I, t, sec(loc), soma_seg, t0, delay, Fs, f1, out_file_name='/home/craig_kelley_downstate_edu/L5PYR_Resonance/Hay/Bimodal/' + str(sec(loc)))

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