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- March 13, 2018.
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- Version 1 (March 13, 2018 - 07:11).
- You are viewing Version 2, the most recent version of this article.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Author Information
- Daniel D.E. Wong1,2,*,
- Søren A. Fuglsang3,
- Jens Hjortkjær3,4,
- Enea Ceolini5,
- Malcolm Slaney6 and
- Alain de Cheveigné1,2,7
- 1Laboratoire des Systèmes Perceptifs, UMR 8248, CNRS, Paris, France
- 2Département d’Études Cognitives, École Normale Supérieure, PSL Research University, Paris, France
- 3Department of Electrical Engineering, Danmarks Tekniske Universitet, Lyngby, Denmark
- 4Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
- 5Institute of Neuroinformatics, University of Zürich, Zürich, Switzerland
- 6AI Machine Perception, Google, Mountain View, CA, USA
- 7Ear Institute, University College London, London, United Kingdom
- ↵*Correspondence: Daniel D.E. Wong LSP-DEC ENS, 29 Rue d’Ulm, 75005 Paris, France, ddewong{at}gmail.com
Posted March 13, 2018.
A Comparison of Temporal Response Function Estimation Methods for Auditory Attention Decoding
