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22 changes: 22 additions & 0 deletions README.md
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# README for Neural Network Models (mex files)

This repository contains two neural network models (mex files) associated with the following paper:

S. Cavallari, S. Panzeri and A. Mazzoni (2014) Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks, *Frontiers in Neural Circuits*, 8:12. doi: 10.3389/fncir.2014.00012

Recurrent networks, each of two populations (excitatory and inhibitory) of randomly connected Leaky Integrate-and-Fire (LIF) neurons with either conductance-based synapses (COBN) or current-based synapses (CUBN) were studied. The activity of the LIF COBN model was compared with the activity of the associated model LIF CUBN.

Instructions are provided in the ReadMe files in each model-associated subfolder, **LIF_COBN** and **LIF_CUBN**.

If you have any questions about the implementation of these MATLAB models, which require compilation with mex, contact:
ste.cavallari@gmail.com

Please cite the paper if you use the codes.

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### Changelog

- 2014-07-09: Comments in `LIF_COBN/code_COBN.c`, `LIF_COBN/code_COBN.m`, `LIF_CUBN/code_CUBN.c`, `LIF_CUBN/code_CUBN.m` were enhanced.
- 2015-07-22: The code to generate the OU process has been added (`LIF_COBN/OU_process.m` and `LIF_CUBN/OU_process.m`) together with the instructions (`LIF_COBN/ReadMe_COBN` and `LIF_CUBN/ReadMe_CUBN`) to set the arguments to generate the data used in some figures of the paper.
- 2025-07-09: Converted README to Markdown.
29 changes: 0 additions & 29 deletions readme.txt

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