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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.
+
+---
+
+### 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.
diff --git a/readme.txt b/readme.txt
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-This is the readme for the two neural network models (mex file) 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 were compared with the
-activity of the associated model LIF CUBN. 
-Instructions are provided in the ReadMe files in each model associated sub folder, 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.
-
-
-20140709 Comments in LIF_COBN/code_COBN.c, LIF_COBN/code_COBN.m,
-LIF_CUBN/code_CUBN.c, LIF_CUBN/code_CUBN.m were enhanced.
-
-20150722 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.