Skip to content

High frequency oscillations induced in three gap-junction coupled neurons (Tseng et al. 2008)

Notifications You must be signed in to change notification settings

ModelDBRepository/114735

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

<html><pre> 
This is the readme for the model code associated with the paper:

Tseng SH, Tsai LY, Yeh SR (2008) Induction of high-frequency
oscillations in a junction-coupled network. J Neurosci 28:7165-73

These model files were supplied by Shin-Hua Tseng.

Usage notes:

The simulation model code was created in NEURON 6.2

(NEURON is available from http://www.neuron.yale.edu)

Follow the below procedure to easily observe oscillation results:

Either auto-launch from ModelDB or download and extract the archive
and then under

mswin:
------

Compile the mod files by running mknrndll
([Start]->[Programs]->[Neuron 6.2]->[mknrndll]), cd'ing to the extracted
folder and selecting to make the nrnmech.dll file.  Then start the
simulation by double clicking on the mosinit.hoc file while using the
windows explorer or run [Start]->[Programs]->[Neuron 6.2]->[nrngui],
Change to model directory (from NEURON main menu select [File] ->
[working dir]), and then load the load "mosinit.hoc" hoc file from
NEURON menubar [File]->[load hoc]

MAC OS X:
---------

Drag and drop the HOF folder onto the mknrndll icon.  Drag and drop
the mosinit.hoc file onto the nrngui icon.

Linux/Unix:
-----------

Compile the mod files by cd'ing to the extracted folder, HOF, and type

nrnivmodl
nrngui mosinit.hoc

Once the simulation interface has started:
------------------------------------------

From [RunControl], press [Init&Run] to show simulation results.

You should see a figure appear that looks like:

<img src="./screenshot.jpg" alt="screenshot">

which contains similar data as was used to create figure 2d:

<img src="./slide.jpg" alt="slide">

Note:
You can use 
gap_r function to change gap junction resistance of each neuron pair
    gap_r() will show its usage.
Set_ST to adjust stimulation interval and strength
    Set_ST() will show its usage.

Releases

No releases published

Packages

No packages published