Stochastic ion channels and neuronal morphology (Cannon et al. 2010)

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Accession:128043
"... We introduce and validate new computational tools that enable efficient generation and simulation of models containing stochastic ion channels distributed across dendritic and axonal membranes. Comparison of five morphologically distinct neuronal cell types reveals that when all simulated neurons contain identical densities of stochastic ion channels, the amplitude of stochastic membrane potential fluctuations differs between cell types and depends on sub-cellular location. ..." The code is downloadable and more information is available at <a href="http://www.psics.org/">http://www.psics.org/</a>
Reference:
1 . Cannon RC, O`Donnell C, Nolan MF (2010) Stochastic ion channel gating in dendritic neurons: morphology dependence and probabilistic synaptic activation of dendritic spikes. PLoS Comput Biol [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Synapse; Channel/Receptor;
Brain Region(s)/Organism:
Cell Type(s): Dentate gyrus granule cell; Hippocampus CA1 pyramidal cell; Substantia nigra pars compacta dopaminergic cell; Neocortex V1 pyramidal corticothalamic L6 cell; Cerebellum purkinje cell;
Channel(s): I Na,t; I A; I K; I h;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: PSICS;
Model Concept(s): Action Potential Initiation; Dendritic Action Potentials; Influence of Dendritic Geometry; Detailed Neuronal Models;
Implementer(s):
Search NeuronDB for information about:  Dentate gyrus granule cell; Hippocampus CA1 pyramidal cell; Substantia nigra pars compacta dopaminergic cell; Neocortex V1 pyramidal corticothalamic L6 cell; Cerebellum purkinje cell; I Na,t; I A; I K; I h;
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CannonEtAl2010
fig2
fig5
figs6and7
figs8and9
readme.txt
                            
This is the readme for the model code for the paper:

Cannon RC, O`Donnell C, Nolan MF (2010) Stochastic ion channel gating
in dendritic neurons: morphology dependence and probabilistic synaptic
activation of dendritic spikes. PLoS Comput Biol

These model files were contributed by Matt Nolan and Cian O'Donnell.

The code for figures 2, 5, 6&7, 8&9 are supplied in the fig2, fig5,
figs6and7, and figs8and9 folders.

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