English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data

Hebart, M. N., Görgen, K., & Haynes, J.-D. (2015). The Decoding Toolbox (TDT): A versatile software package for multivariate analyses of functional imaging data. Frontiers in Neuroinformatics, 8: 88. doi:10.3389/fninf.2014.00088.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/21.11116/0000-0005-2132-D Version Permalink: http://hdl.handle.net/21.11116/0000-0005-2133-C
Genre: Journal Article

Files

show Files
hide Files
:
Hebart_Görgen_2015.pdf (Publisher version), 5MB
Name:
Hebart_Görgen_2015.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Hebart, Martin N.1, Author              
Görgen, Kai 1, Author
Haynes, John-Dylan1, Author              
Affiliations:
1External Organizations, ou_persistent22              

Content

show
hide
Free keywords: multivariate pattern analysis; decoding; pattern classification; fMRI; representational similarity analysis; searchlight
 Abstract: 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.

Details

show
hide
Language(s): eng - English
 Dates: 2014-07-012014-12-102015-01-06
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.3389/fninf.2014.00088
PMID: 25610393
PMC: PMC4285115
Other: eCollection 2014
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Frontiers in Neuroinformatics
  Abbreviation : Front Neuroinform
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 8 Sequence Number: 88 Start / End Page: - Identifier: ISSN: 1662-5196
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5196