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ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2018
License: CC BY
Data sources: Datacite
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Auditory Stream Segregation And Selective Attention For Cochlear Implant Listeners: Evidence From Behavioral Measures And Event-Related Potentials

Authors: Paredes-Gallardo, Andreu; Innes-Brown, Hamish; Madsen, Sara; Dau, Torsten; Marozeau, Jeremy;

Auditory Stream Segregation And Selective Attention For Cochlear Implant Listeners: Evidence From Behavioral Measures And Event-Related Potentials

Abstract

Data set generated for the study "Auditory stream segregation and selective attention for cochlear implant listeners: Evidence from behavioral measures and event-related potentials" behavioral.txt: d' scores obtained by the listeners on the deviant detection task. subject: listener ID distractor: Electrode separation condition deviant: Deviant triplet d: d' scores exp: experimental session (BEH / ERP) ERP_by_condition.txt: Subject: listener ID Type: Sound type (Target / Distractor) Dev: Deviant condition. Early = deviant triplets 1 or 2. Late = deviant triplet 3 or none. rep: Triplet number sound: sound number within the triplet amplitude: amplitude difference between the active and the passive listening conditions.

This work supported by the Oticon Centre of Excellence for Hearing and Speech Sciences (CHESS), the Carlsberg Foundation and a National Health and Medical Research Council (Australia) Early-Career Research Fellowship. The Bionics Institute acknowledges the support from the Victorian Government through its Operational Infrastructure Support Program. Some of the research equipment was provided by Cochlear Ltd.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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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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