ModelDB: Fast sodium channel gating in mossy fiber axons (Schmidt-Heiber et al. 2010)

Fast sodium channel gating in mossy fiber axons (Schmidt-Heiber et al. 2010)

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: Schmidt-Hieber C, Bischofberger J (2010) Fast Sodium Channel Gating Supports Localized and Efficient Axonal Action Potential Initiation J. Neurosci. 30(30):10233-10242 [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;
Brain Region(s)/Organism:
Cell Type(s):	Dentate granule 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 granule cell;

Model files

Help downloading and running models Versions

This code accompanies the publication:

Schmidt-Hieber C, Bischofberger J. (2010)
Fast sodium channel gating supports localized and efficient 
axonal action potential initiation.
J Neurosci 30:10233-42

Send comments to c.schmidt-hieber_at_ucl.ac.uk

INSTALLATION

1. Install the required Python modules:
NumPy (http://numpy.scipy.org)
SciPy (http://www.scipy.org/SciPy)
Matplotlib (http://matplotlib.sourceforge.net/index.html)

Installation instructions can be found on the respective web sites.

2. NEURON and Python
Install NEURON with Python support. At the time of writing,
the binary distribution won't do and you'll have to compile
NEURON from source.

See 
http://www.davison.webfactional.com/notes/installation-neuron-python/
for instructions.

3. Optional
To solve kinetic gating schemes without NEURON, you'll need pyqmatrix:

http://code.google.com/p/pyqmatrix

USAGE

1. Compile the mechanism files in the mod directory:
$ nrnivmodl mod

2. Run the example simulations:

# Simple current-clamp simulation
$ python ap.py

# Voltage-clamp simulation comparing Q-Matrix and NEURON results:
$ python qmatrix.py

CHANGELOG

na8st-1.1 (1.1)

  * Pointing out discrepancies in \bar{g}_{Na} computations.
    Thanks to Steffen Platschek for pointing this out.

 -- Christoph Schmidt-Hieber <c.schmidt-hieber@ucl.ac.uk>  Sun, 20 Oct 2011 13:41:23 +0000

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