Auditory stream segregation and selective attention for cochlear implant listeners: Evidence from behavioral measures and event-related potentials

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.  

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PID https://www.doi.org/10.5281/zenodo.1211575
PID https://www.doi.org/10.5281/zenodo.1211574
URL http://dx.doi.org/10.5281/zenodo.1211575
URL https://dx.doi.org/10.5281/zenodo.1211574
URL https://figshare.com/articles/Auditory_stream_segregation_and_selective_attention_for_cochlear_implant_listeners_Evidence_from_behavioral_measures_and_event-related_potentials/11550585
URL https://zenodo.org/record/1211575
URL http://dx.doi.org/10.5281/zenodo.1211574
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Access Right Open Access
Attribution

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Author Paredes-Gallardo, Andreu, 0000-0003-1371-3547
Author Innes-Brown, Hamish, 0000-0002-1512-2823
Author Madsen, Sara, 0000-0003-2824-7526
Author Dau, Torsten, 0000-0001-8110-4343
Author Marozeau, Jeremy, 0000-0002-4505-135X
Publishing

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Collected From Zenodo; Europe PubMed Central; Datacite; figshare
Hosted By Zenodo; figshare
Publication Date 2018-05-01
Publisher Zenodo
Additional Info
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Language English
Resource Type Dataset
system:type dataset
Management Info
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::09482c42f26a6da619a74ebaaa4fbfab
Author jsonws_user
Version V1
Last Updated 14 January 2021, 14:52 (CET)
Created 14 January 2021, 14:52 (CET)