From 20018a78abb9c4a6cc91124258de02e0e27f51ab Mon Sep 17 00:00:00 2001 From: EnfxcFCb6 Date: Wed, 9 Jul 2025 16:06:38 -0400 Subject: [PATCH 1/2] Standardized README to Markdown format --- README.md | 29 +++++++++++++++++++++++++++++ Readme.html | 25 ------------------------- 2 files changed, 29 insertions(+), 25 deletions(-) create mode 100644 README.md delete mode 100644 Readme.html diff --git a/README.md b/README.md new file mode 100644 index 0000000..75238dd --- /dev/null +++ b/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. \ No newline at end of file diff --git a/Readme.html b/Readme.html deleted file mode 100644 index b6db521..0000000 --- a/Readme.html +++ /dev/null @@ -1,25 +0,0 @@ -
-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
-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.
-
From 3b1e637fae0ca47a8ae325b8ad8eb9a6aae1f925 Mon Sep 17 00:00:00 2001 From: rsakai Date: Thu, 10 Jul 2025 14:51:34 -0400 Subject: [PATCH 2/2] Update README.md --- README.md | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index 75238dd..a1d02e1 100644 --- a/README.md +++ b/README.md @@ -1,29 +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" +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 +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). +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. \ No newline at end of file +2025-07-09: Converted README to Markdown.