ModelDB: Spike propagation in dendrites with stochastic ion channels (Diba et al. 2006))

Spike propagation in dendrites with stochastic ion channels (Diba et al. 2006))

Accession: 125385

"We investigate the effects of the stochastic nature of ion channels on the faithfulness, precision and reproducibility of electrical signal transmission in weakly active, dendritic membrane under in vitro conditions. ... We numerically simulate the effects of stochastic ion channels on the forward and backward propagation of dendritic spikes in Monte-Carlo simulations on a reconstructed layer 5 pyramidal neuron. We report that in most instances there is little variation in timing or amplitude for a single BPAP, while variable backpropagation can occur for trains of action potentials. Additionally, we find that the generation and forward propagation of dendritic Ca2+ spikes are susceptible to channel variability. This indicates limitations on computations that depend on the precise timing of Ca2+ spikes."
Reference: Diba K, Koch C, Segev I (2006) Spike propagation in dendrites with stochastic ion channels J Comput Neurosci 20:77-84 [PubMed]

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Model Information (Click on a link to find other models with that property)

Model Type:	Channel;
Brain Region(s)/Organism:	Neocortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	Neuron;
Model Concept(s):	Active Dendrites; Action Potentials;
Implementer(s):	Diba, Kamran [diba at andromeda.rutgers.edu];

Model files

Help downloading and running models Versions

This is the readme for the model files associated with the paper:

Diba K, Koch C, Segev I (2006) Spike propagation in dendrites with
stochastic ion channels J Comput Neurosci 20:77-84

The mod and hoc files were copied from the authors web archive: 
http://osiris.rutgers.edu/~diba/Sbpap_code.zip
and had a mosinit.hoc and init.hoc files added so that they could be
auto-launched from ModelDB.

Usage: either auto-launch from ModelDB or compile the mod files and run under

Linux:
------
by running "nrnivmodl" and then "nrngui mosinit.hoc" in the extracted
archive.

Mac OS X:
---------
by dragging and dropping the extracted folder onto the mknrndll icon
and then dragging and dropping the mosinit.hoc file onto the nrngui
icon.

mswin:
------

by running mknrndll and cd'ing to the extracted archive folder and
clicking make the nrnmech.dll and then double clicking on mosinit.hoc
in a windows explorer.

Once the simulation is running:
-------------------------------

Click to choose one of two configurations used in the paper, one with
a voltage gated sodium conductance density in the dendrites of 27 and
the other with 14 pS/um.

20120326 mod/cad2.mod solve method updated from euler to derivimplicit
as per http://www.neuron.yale.edu/phpBB/viewtopic.php?f=28&t=592

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