Ventromedial Thalamocortical Neuron (Bichler et al 2021)

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"Biophysical computer modeling of a thalamic neuron demonstrated that an increase in rebound spiking can also be accounted for by a decrease in the M-type potassium current. Modeling also showed that an increase in sag with hyperpolarizing steps found after 6-OHDA treatment could in part but not fully be accounted for by the decrease in M-type current. These findings support the hypothesis that homeostatic changes in BGMT neural properties following 6-OHDA treatment likely influence the signal processing taking place in the BG thalamocortical network in Parkinson's disease."
1 . Bichler EK, Cavarretta F, Jaeger D (2021) Changes in Excitability Properties of Ventromedial Motor Thalamic Neurons in 6-OHDA Lesioned Mice. eNeuro [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: Thalamus;
Cell Type(s):
Channel(s): I A; I h; I L high threshold; I T low threshold; I K,Ca; I Sodium; I Potassium; I Na,p; I K;
Gap Junctions:
Simulation Environment: NEURON; Python;
Model Concept(s): Pathophysiology;
Search NeuronDB for information about:  I Na,p; I L high threshold; I T low threshold; I A; I K; I h; I K,Ca; I Sodium; I Potassium;
from neuron import h


cell = h.AA0136()

import edyta_sim
import numpy as np
import pynwb_io
import pyneuron


h.celsius = 27.0

def run(tstop, vinit=-78):
  h.tstop = tstop
  h.v_init = vinit

def set_recording(_ref_v):
  t_vec = h.Vector()
  v_vec = h.Vector()
  h.cvode.record(_ref_v, v_vec, t_vec)
  return t_vec, v_vec

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