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Dataset . 2019
License: CC BY NC SA
Data sources: Datacite
ZENODO
Dataset . 2019
License: CC BY NC SA
Data sources: Datacite
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Auditory Attention Detection Dataset KULeuven (OLD VERSION)

Authors: Das, Neetha; Francart, Tom; Bertrand, Alexander;

Auditory Attention Detection Dataset KULeuven (OLD VERSION)

Abstract

********************************* Disclaimer: PLEASE DO NOT USE THIS VERSION (Data has been made unavailable) Another version, version 2.0.0, of this data set is available here, which contains the original data (+ details on the data set). The version published on the current page contains EEG data that has been pre-processed with a data-driven artifact removal procedure on a trial-by-trial basis. This can introduce slight differences across trials that can possibly be exploited by classifiers. Therefore, for proper benchmarking of auditory attention decoding algorithms that can learn to use such cues, it is recommended to NOT use this pre-processed data set, and instead use the unprocessed version 1.1.0 (the original data). ********************************* This version of the data set was used in Das, N., Vanthornhout, J., Francart, T., & Bertrand, A. “Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research.” NeuroImage, Volume 204, 116211, Jan. 2020https://doi.org/10.1016/j.neuroimage.2019.116211 The results and conclusions in the paper are not affected by the trial-by-trial application of the artifact removal procedure.

This research work was carried out at the ESAT and ExpORL Laboratories of KU Leuven, in the frame of KU Leuven Special Research Fund BOF/ STG-14-005, OT/14/119 and C14/16/057. The work has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No 637424).

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Keywords

Auditory Attention Detection, EEG, signal processing, neuroscience

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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