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Decoding continuous variables from EEG data using linear support vector regression (SVR) analysis with the Decision Decoding Toolbox (DDTBOX)

Stefan Bode, Daniel Feuerriegel, Elektra Schubert, Hinze Hogendoorn
doi: https://doi.org/10.1101/2021.05.31.446502
Stefan Bode
1Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
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Daniel Feuerriegel
1Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
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  • For correspondence: dfeuerriegel@unimelb.edu.au
Elektra Schubert
1Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
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Hinze Hogendoorn
1Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
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Posted June 01, 2021.
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Decoding continuous variables from EEG data using linear support vector regression (SVR) analysis with the Decision Decoding Toolbox (DDTBOX)
Stefan Bode, Daniel Feuerriegel, Elektra Schubert, Hinze Hogendoorn
bioRxiv 2021.05.31.446502; doi: https://doi.org/10.1101/2021.05.31.446502
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Decoding continuous variables from EEG data using linear support vector regression (SVR) analysis with the Decision Decoding Toolbox (DDTBOX)
Stefan Bode, Daniel Feuerriegel, Elektra Schubert, Hinze Hogendoorn
bioRxiv 2021.05.31.446502; doi: https://doi.org/10.1101/2021.05.31.446502

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