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DDTBOX specifications


Unique identifier OMICS_29348
Alternative name Decision Decoding ToolBOX
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C, C++, MATLAB
License GNU General Public License version 2.0
Computer skills Advanced
Version 1.0.3
Stability Stable
Maintained Yes




No version available



  • person_outline Daniel Feuerriegel

Publication for Decision Decoding ToolBOX

DDTBOX citation


Neural Decoding of Bistable Sounds Reveals an Effect of Intention on Perceptual Organization

PMCID: 5852662
PMID: 29440556
DOI: 10.1523/JNEUROSCI.3022-17.2018

[…] n. Support vector machines (SVMs) with linear kernels were trained to classify integrated versus segregated epochs in the neutral condition for each Δf and participant using an adapted version of the DDTBOX package (; RRID:SCR_015978) in MATLAB (RRID:SCR_001622). To ensure that the classifiers were unbiased, random subsampling within each SVM was used to match the number of epochs across classes. […]

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DDTBOX institution(s)
Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, VIC, Australia; School of Psychology, Social Work and Social Policy, University of South Australia, SA, Adelaide, Australia; Princeton Neuroscience Institute, Princeton University, Princeton, NJ, USA; Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
DDTBOX funding source(s)
Supported by an Australian Research Council Discovery Early Career Researcher Award (ARC DECRA DE140100350).

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