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Modeling epileptic seizure induced by depolarization block (Kim & Dykamp 2017)
 
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Model Information
Model File
Citations
Accession:
189346
"The inhibitory restraint necessary to suppress aberrant activity can fail when inhibitory neurons cease to generate action potentials as they enter depolarization block. We investigate possible bifurcation structures that arise at the onset of seizure-like activity resulting from depolarization block in inhibitory neurons. Networks of conductance based excitatory and inhibitory neurons are simulated to characterize different types of transitions to the seizure state, and a mean field model is developed to verify the generality of the observed phenomena of excitatory-inhibitory dynamics. ..."
Reference:
1 .
Kim CM, Nykamp DQ (2017) The influence of depolarization block on seizure-like activity in networks of excitatory and inhibitory neurons.
J Comput Neurosci
43
:65-79
[
PubMed
]
Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Abstract Morris-Lecar neuron;
Hodgkin-Huxley neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
Brian;
Model Concept(s):
Epilepsy;
Depolarization block;
Implementer(s):
Kim, Christopher M [christopher.kim3 at nih.gov];
Download the displayed file
/
Depolarization_block
readme.html
fig2-fi.py
fig4-saddle_node-hodgkin_huxley.py
fig4-saddle_node-morris_lecar.py
fig5-homoclinic-hodgkin_huxley.py
fig5-homoclinic-morris_lecar.py
fig7-tonic_clonic.py
figure_1.png
figure_2.png
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