Standardize readme

README.md

@@ -0,0 +1,29 @@
+This is the readme for the model associated with the paper
+
+Esposito U, Giugliano M, van Rossum M, Vasilaki E (2014) "Measuring 
+symmetry, asymmetry and randomness in neural network connectivity" 
+*PLoS One* 9:e100805
+
+The matlab code reproduces Figures 1, 2, 3A and 3C from the paper. To 
+run it you need to use Matlab with Symbolic Math Toolbox and 
+Statistics Toolbox.
+
+## Content and usage:
+
+1. Unzip Espositoetal2013_MatlabCode into an empty directory. The code 
+ is organized in 8 .m files.   
+2. To obtain the graphs of Fig. 1 run Uniform_PDFs.m (for 
+ Fig. 1A,B,C,D) and Uniform_PDFs_pruned.m (for Fig. 1E,F,G,H). 
+ For example the figure generated for 1D looks like: 
+
+ ![screenshot](./screenshot.png)  
+3. To obtain the graphs of Fig. 2 run Gaussian_PDFs.m (for 
+ Fig. 2A,B,C,D) and Gaussian_PDFs_pruned.m (for Fig. 2E,F,G,H).  
+4. To obtain the graphs of Fig. 3A,C run Uniform_Statistics.m (for 
+ Fig. 3A) and Gaussian_Statistics.m (for Fig. 3C).  
+5. Uniform_Statistics.m calls sym_measure.m.  
+6. Gaussian_Statistics.m calls sym_measure.m and correl.m.
+
+---
+
+2025-07-09: Converted README to Markdown.