Dr Luc Berthouze
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Last updated: 22 April 2015


ATvDFA: Adaptive time-varying Detrended Fluctuation Analysis

Please click here for a zip file containing all code necessary to implement ATvDFA. The code is written in MATLAB. It uses a number of freely available functions/packages (see credit in the README file). The code was successfully tested on a number of versions of Matlab (version greater than 7) as well as Octave (my thanks to Erik Bojorges). Usage instructions are provided in the README file. A test file is available here.

For full details regarding the method, please see:
Adaptive time-varying Detrended Fluctuation Analysis,
Berthouze L, Farmer SF
Journal of Neuroscience Methods, 209:178-188 (2012) [pdf]


If you use this code, please make sure to cite the above paper.
Please email any bug report, correction, suggestion to Luc Berthouze.





PGF_equation_generator: Generating networks with arbitrary subgraph composition


Please click here for a zip file containing all code necessary to generate (a) networks with arbitrary subgraph distributions, (b) a set of ODEs corresponding to SIR dynamics on the generated network and (c) the numerical solution of these equations. The code is written in MATLAB. It makes use of the Symbolic Math toolbox of Matlab as well as a number of freely available functions (see credit in the README file). Usage instructions and a number of examples are provided in the README file as well as PGF_equation_generator.m. See this for an explanation of the code.

For full details regarding the method, please see:
Beyond clustering: Mean-field dynamics on networks with arbitrary subgraph composition,
Ritchie M, Berthouze L, Kiss IZ (2015). Journal of Mathematical Biology. [doi].
Available as arXiv:1405.6234 [math.DS]

If you use this code, please make sure to cite the above paper. Note that this code and further developments are available from the following GitHub repository.

Please email any bug report, correction, suggestion to Martin Ritchie.






Copyright © 2011 Luc Berthouze