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Claim

FieldTrip: the MATLAB software toolbox for MEG, EEG and iEEG analysis

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 31 Dec 2009Publisher:Zenodo
Authors: Oostenveld, Robert; Fries, Pascal; Maris, Eric; Schoffelen, Jan-Mathijs; FieldTrip contributors;
Code repository: https://github.com/fieldtrip/fieldtrip/tree/20191213

doi: 10.5281/zenodo.10495304 , 10.5281/zenodo.10495254 , 10.5281/zenodo.10495308 , 10.5281/zenodo.10495174 , 10.5281/zenodo.10495268 , 10.5281/zenodo.10495306 , 10.5281/zenodo.10495293 , 10.5281/zenodo.10495301 , 10.5281/zenodo.10495352 , 10.5281/zenodo.18185454 , 10.5281/zenodo.10495175 , 10.5281/zenodo.10495252 , 10.5281/zenodo.10495244 , 10.5281/zenodo.10495302 , 10.5281/zenodo.10495298 , 10.5281/zenodo.18540665

FieldTrip: the MATLAB software toolbox for MEG, EEG and iEEG analysis

Abstract

FieldTrip is the MATLAB software toolbox for MEG, EEG and iEEG analysis, which is released free of charge as open source software under the GNU general public license. FieldTrip is developed by members and collaborators of the Donders Institute for Brain, Cognition and Behaviour at Radboud University, Nijmegen, the Netherlands. This release corresponds to the 2019 end-of-year version of the FieldTrip toolbox.

If you use this software, please cite Robert Oostenveld, Pascal Fries, Eric Maris, and Jan-Mathijs Schoffelen. FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data. Computational Intelligence and Neuroscience, 2011; 2011:156869.

Keywords

MATLAB, MEG, iEEG, FieldTrip, EEG

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average