Frédéric Dandurand
Senior researcher in AI (Artificial Intelligence)
  • Welcome
  • CV
  • Software Design
  • Research
  • Neural Art
Research Projects
  • Automatic Maxima Detection
  • Self-Organizing Maps
Problem Solving
  • Hanjie puzzles
  • Gizmo task

GNU General Public License

Programs and codes distributed on this website are free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

Paper copyrights

Papers are posted on this site as an efficient way to distribute reprints. The respective authors and publishers of these works retain all of the copyrights to this material. Anyone copying, downloading, bookmarking, or printing any of these materials agrees to comply with all of the copyright terms. Other than having an electronic or printed copy for fair personal use, none of these works may be reposted, reprinted, or redistributed without the explicit permission of the relevant copyright holders.

Comments, suggestions, questions, bugs? Please email: frederic.dandurand@gmail.com

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Automatic Maxima Detection (AMD) : Getting started

To get started with AMD, you read this tutorial.

Installation

  1. Download AMD. The ZIP file contains: (1) AMD code including a graphical user interface (GUI), (2) FDA code, and (3) the three analyses presented in the Behavior Research Methods article.
  2. Unzip this downloaded file to some directory.
  3. Start Matlab, and set current directory to the one containing downloaded AMD code.
  4. To start the GUI, run AMD_GUI.m. Data files can be found under the "Data" directory. Unless specified otherwise, they contain the sampling times on the first row, subject (case) numbers in the first column, and group id in the second column.
  5. To run the sample Matlab analyses using scripts, execute the file under "file location" and obtain results in the corresponding "AMD output directory":

    Analysis File location AMD output directory
    Berkeley growth study .\sample_scripts\script_berkeley.m .\results\berkeley\
    Corrigan study .\sample_scripts\script_corrigan.m .\results\corrigan\
    McMurray study .\sample_scripts\script_mcmurray.m .\results\mcmurray\

These scripts serve as samples that can be adapted for other purposes.

Notes

  • AMD runs on Matlab. It has been tested on version R2009b (32 bits) and R2010a (64 bits) of Matlab. Compatibility with other versions of Matlab cannot be guaranteed.
  • AMD comes embedded with Functional Data Analysis (FDA).