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43 changes: 43 additions & 0 deletions README.md
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This simulation was used in the following article:

Eguchi A, Neymotin SA, Stringer SM. (2014)
Color opponent receptive fields self-organize in a biophysical model
of visual cortex via spike-timing dependent plasticity.
*Front. Neural Circuits* 8:16. doi: 10.3389/fncir.2014.00016

For questions email: akihiro dot eguchi at psy dot ox dot ac dot uk

This simulation was tested/developed on LINUX systems, but may run on
Microsoft Windows or Mac OS.

To run, you will need the NEURON simulator (available at
[http://www.neuron.yale.edu](http://www.neuron.yale.edu)) compiled with python enabled. To draw the
output you will need to have Matplotlib installed ([http://matplotlib.org/](http://matplotlib.org/)).

### Instructions:

- Unzip the contents of the zip file to a new directory.

- Compile the mod files from the command line with:

```
nrnivmodl *.mod
```

The `nrnivmodl` command will produce an architecture-dependent folder
with a script called `special`. On 64 bit systems the folder is
`x86_64`. To run the simulation from the command line use:

```
python runMe.py
```

Various parameters used in the simulation are set in the python codes.
State of the networks are exported and saved every n iterations as
`Network_` + `str(itr)` + `.obj` format so that various analysis can be
applied to the network with specific point during the training using
`runMe2.py` script.

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2025-07-09: Converted README to Markdown.
33 changes: 0 additions & 33 deletions readme.txt

This file was deleted.