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  FieldTrip: Open source software for advanced analysis of MEG, EEG, and Invasive Electrophysiological Data

Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011). FieldTrip: Open source software for advanced analysis of MEG, EEG, and Invasive Electrophysiological Data. Computational Intelligence and Neuroscience, 2011: 156869, pp. 156869. doi:10.1155/2011/156869.

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Oostenveld_2010.pdf (Publisher version), 3MB
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Oostenveld_2010.pdf
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2011
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Copyright © 2011 Robert Oostenveld et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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 Creators:
Oostenveld, Robert1, Author           
Fries, Pascal1, 2, Author
Maris, Eric1, Author
Schoffelen, Jan-Mathijs1, Author           
Affiliations:
1Donders Institute for Brain, Cognition and Behaviour, ou_55236              
2Ernst Strüngmann Institute and Max Planck Society, D-60528 Frankfurt, Germany, ou_persistent22              

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 Abstract: This paper describes FieldTrip, an open source software package that we developed for the analysis of MEG, EEG, and other electrophysiological data. The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. It includes algorithms for simple and advanced analysis, such as time-frequency analysis using multitapers, source reconstruction using dipoles, distributed sources and beamformers, connectivity analysis, and nonparametric statistical permutation tests at the channel and source level. The implementation as toolbox allows the user to perform elaborate and structured analyses of large data sets using the MATLAB command line and batch scripting. Furthermore, users and developers can easily extend the functionality and implement new algorithms. The modular design facilitates the reuse in other software packages.

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Language(s): eng - English
 Dates: 2010-12-232011
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: Computational Intelligence and Neuroscience
Source Genre: Journal
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Publ. Info: Hindawi Publishing Corporation
Pages: - Volume / Issue: 2011 Sequence Number: 156869 Start / End Page: 156869 Identifier: DOI: 10.1155/2011/156869
ISSN: 1687-5265
ISSN: 1687-5273