The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data
The multivariate analysis of brain signals has recently sparked a great amount of interest, yet accessible and versatile tools to carry out decoding analyses are scarce. Here we introduce The Decoding Toolbox (TDT) which represents a user-friendly, powerful and flexible package for multivariate anal...
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doaj-76a3d79a5d014eb787db1ab9f091b47e2020-11-25T00:04:03ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962015-01-01810.3389/fninf.2014.00088108528The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging dataMartin Nikolai Hebart0Martin Nikolai Hebart1Martin Nikolai Hebart2Martin Nikolai Hebart3Kai eGörgen4Kai eGörgen5Kai eGörgen6John-Dylan eHaynes7John-Dylan eHaynes8John-Dylan eHaynes9University Medical Center Hamburg-EppendorfCharité UniversitätsmedizinCharité UniversitätsmedizinHumboldt-Universität zu BerlinCharité UniversitätsmedizinCharité UniversitätsmedizinTechnische Universität BerlinCharité UniversitätsmedizinCharité UniversitätsmedizinHumboldt-Universität zu BerlinThe multivariate analysis of brain signals has recently sparked a great amount of interest, yet accessible and versatile tools to carry out decoding analyses are scarce. Here we introduce The Decoding Toolbox (TDT) which represents a user-friendly, powerful and flexible package for multivariate analysis of functional brain imaging data. TDT is written in Matlab and equipped with an interface to the widely used brain data analysis package SPM. The toolbox allows running fast whole-brain analyses, region-of-interest analyses and searchlight analyses, using machine learning classifiers, pattern correlation analysis, or representational similarity analysis. It offers automatic creation and visualization of diverse cross-validation schemes, feature scaling, nested parameter selection, a variety of feature selection methods, multiclass capabilities, and pattern reconstruction from classifier weights. While basic users can implement a generic analysis in one line of code, advanced users can extend the toolbox to their needs or exploit the structure to combine it with external high-performance classification toolboxes. The toolbox comes with an example data set which can be used to try out the various analysis methods. Taken together, TDT offers a promising option for researchers who want to employ multivariate analyses of brain activity patterns.http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00088/fullfMRIDecodingmultivariate pattern analysisPattern Classificationrepresentational similarity analysisToolbox |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Martin Nikolai Hebart Martin Nikolai Hebart Martin Nikolai Hebart Martin Nikolai Hebart Kai eGörgen Kai eGörgen Kai eGörgen John-Dylan eHaynes John-Dylan eHaynes John-Dylan eHaynes |
spellingShingle |
Martin Nikolai Hebart Martin Nikolai Hebart Martin Nikolai Hebart Martin Nikolai Hebart Kai eGörgen Kai eGörgen Kai eGörgen John-Dylan eHaynes John-Dylan eHaynes John-Dylan eHaynes The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data Frontiers in Neuroinformatics fMRI Decoding multivariate pattern analysis Pattern Classification representational similarity analysis Toolbox |
author_facet |
Martin Nikolai Hebart Martin Nikolai Hebart Martin Nikolai Hebart Martin Nikolai Hebart Kai eGörgen Kai eGörgen Kai eGörgen John-Dylan eHaynes John-Dylan eHaynes John-Dylan eHaynes |
author_sort |
Martin Nikolai Hebart |
title |
The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data |
title_short |
The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data |
title_full |
The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data |
title_fullStr |
The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data |
title_full_unstemmed |
The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data |
title_sort |
decoding toolbox (tdt): a versatile software package for multivariate analyses of functional imaging data |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neuroinformatics |
issn |
1662-5196 |
publishDate |
2015-01-01 |
description |
The multivariate analysis of brain signals has recently sparked a great amount of interest, yet accessible and versatile tools to carry out decoding analyses are scarce. Here we introduce The Decoding Toolbox (TDT) which represents a user-friendly, powerful and flexible package for multivariate analysis of functional brain imaging data. TDT is written in Matlab and equipped with an interface to the widely used brain data analysis package SPM. The toolbox allows running fast whole-brain analyses, region-of-interest analyses and searchlight analyses, using machine learning classifiers, pattern correlation analysis, or representational similarity analysis. It offers automatic creation and visualization of diverse cross-validation schemes, feature scaling, nested parameter selection, a variety of feature selection methods, multiclass capabilities, and pattern reconstruction from classifier weights. While basic users can implement a generic analysis in one line of code, advanced users can extend the toolbox to their needs or exploit the structure to combine it with external high-performance classification toolboxes. The toolbox comes with an example data set which can be used to try out the various analysis methods. Taken together, TDT offers a promising option for researchers who want to employ multivariate analyses of brain activity patterns. |
topic |
fMRI Decoding multivariate pattern analysis Pattern Classification representational similarity analysis Toolbox |
url |
http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00088/full |
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