Hodgkin-Huxley model of persistent activity in PFC neurons (Winograd et al. 2008) (NEURON python)

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Accession:144376
The paper demonstrate a form of graded persistent activity activated by hyperpolarization. This phenomenon is modeled based on a slow calcium regulation of Ih, similar to that introduced earlier for thalamic neurons (see Destexhe et al., J Neurophysiol. 1996). The only difference is that the calcium signal is here provided by the high-threshold calcium current (instead of the low-threshold calcium current in thalamic neurons).
Reference:
1 . Winograd M, Destexhe A, Sanchez-Vives MV (2008) Hyperpolarization-activated graded persistent activity in the prefrontal cortex. Proc Natl Acad Sci U S A 105:7298-303 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Channel/Receptor;
Brain Region(s)/Organism: Prefrontal cortex (PFC);
Cell Type(s):
Channel(s): I Na,t; I L high threshold; I K; I M; I h;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Ion Channel Kinetics;
Implementer(s): Skolnick, Yosef [yskolnick at gmail.com];
Search NeuronDB for information about:  I Na,t; I L high threshold; I K; I M; I h;
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Skolnik_python_WinogradEtAl2008
readme.txt
APCounter2.mod *
Cadynamics.mod *
HH2.mod *
ICaL.mod *
Ih.mod *
IKM.mod *
ipulse3.mod *
pasi.mod *
demo_HPGA_non_saturating.py
demo_HPGA_non_saturating_noIh.py
demo_HPGA_saturating.py
geoms.py
pyinit.py
simgui.hoc
simgui.py
winograd.py
                            
from neuron import *
from geoms import *
from winograd import *
#ngraph=0
pinit()
makeWinNonIh()

soma = cells[0].soma
winographNoIh()
h.tstop = 66000
h.run()

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