Reference : PRoNTo: Pattern Recognition for Neuroimaging Toolbox
Computer developments : Software
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/153303
PRoNTo: Pattern Recognition for Neuroimaging Toolbox
English
Schrouff, Jessica mailto [Université de Liège - ULiège > > Centre de recherches du cyclotron >]
Rosa, Maria Joao []
Rondina, Jane []
Marquand, André []
Chu, Carlton []
Ashburner, John []
Phillips, Christophe mailto [Université de Liège - ULiège > > Centre de recherches du cyclotron >]
Richiardi, Jonas []
Mourao-Miranda, Janaina []
2012
2012-06
[en] neuroimaging ; machine learning ; pattern recognition
[en] PRoNTo (Pattern Recognition for Neuroimaging Toolbox) is a software toolbox based on pattern recognition techniques for the analysis of neuroimaging data. Statistical pattern recognition is a field within the area of machine learning which is concerned with automatic discovery of regularities in data through the use of computer algorithms, and with the use of these regularities to take actions such as classifying the data into different categories. In PRoNTo, brain scans are treated as spatial patterns and statistical learning models are used to identify statistical properties of the data that can be used to discriminate between experimental conditions or groups of subjects (classification models) or to predict a continuous measure (regression models).

PRoNTo aims to facilitate the interaction between machine learning and neuroimaging communities. On one hand, the machine learning community can contribute to the toolbox with novel machine learning models. On the other hand, the toolbox provides a variety of tools for the neuroscience and clinical neuroscience communities, enabling them to ask new questions that cannot be easily investigated using existing software and analysis tools.

PRoNTo is distributed for free as copyright software under the terms of the GNU General Public License as published by the Free Software Foundation. The development of the toolbox has been supported by the PASCAL Harvest framework and The Wellcome Trust.
Department of Computer Science, University College London ; Centre de Recherches du Cyclotron - CRC, ULg
PASCAL2
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/2268/153303
10.1007/s12021-013-9178-1
http://www.mlnl.cs.ucl.ac.uk/pronto/
PRoNTo works on Windows, Mac OS and Linux but requires the following software:

- MATLAB: MATLAB (The MathWorks) is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. PRoNTo is designed to work from MATLAB versions 7.5 (R2007b) to 7.14 (R2012a), and will not work with earlier versions. It also requires the MATLAB statistics toolbox. See the System Requirements page for a list of suitable platforms to run MATLAB and the Platform Roadmap for the correspondance between MATLAB versions and supported platforms.

- SPM8: SPM software represents the implementation of the theoretical concepts of Statistical Parametric Mapping in a complete analysis package. PRoNTo relies on SPM8 functions including its latest updates.

- Some routines are written in C++ (.cpp files) for increased eficiency. We provide these compiled routines for the usual OS's such as: Windows XP (32 bits), Windows 7 (64 bits), Mac OS 10, Linux (32 and 64 bits). If your OS is not listed or routines do not work properly then you should compile the routines for your specific OS.

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