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Fast sodium channel gating in mossy fiber axons (Schmidt-Hieber et al. 2010)
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Accession:
128079
"... To study the mechanisms underlying AP initiation in unmyelinated hippocampal mossy fibers of adult mice, we recorded sodium currents in axonal and somatic membrane patches. We demonstrate that sodium channel density in the proximal axon is ~5 times higher than in the soma. Furthermore, sodium channel activation and inactivation are ~2 times faster. Modeling revealed that the fast activation localized the initiation site to the proximal axon even upon strong synaptic stimulation, while fast inactivation contributed to energy-efficient membrane charging during APs. ..."
Reference:
1 .
Schmidt-Hieber C, Bischofberger J (2010) Fast sodium channel gating supports localized and efficient axonal action potential initiation.
J Neurosci
30
:10233-42
[
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):
Dentate gyrus granule GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:
NEURON;
Model Concept(s):
Action Potential Initiation;
Implementer(s):
Search NeuronDB
for information about:
Dentate gyrus granule GLU cell
;
/
na8st
dat
axon_HH.txt
axon_st8.txt
*
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Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
EJ_HH.txt
soma_HH.txt
soma_st8.txt
*
Other models using soma_st8.txt:
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
Comparison of DA-based Stochastic Algorithms (Pezo et al. 2014)
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