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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
]
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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;
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
;
/
Skolnik_python_WinogradEtAl2008
readme.txt
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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
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HPGA non-saturating
HPGA non-saturating (no Ih)
HPGA saturating