Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6173
Main Title: Assessing the depth of cognitive processing as the basis for potential user-state adaptation - Data set
Author(s): Nicolae, Irina-Emilia
Acqualagna, Laura
Blankertz, Benjamin
Type: Generic Research Data
Language Code: en
Abstract: EEG and behavioral data of seventeen participants recorded by members of the Neurotechnology Group at Technische Universität Berlin. Details of the study are published in "Nicolae I-E, Acqualagna L and Blankertz B. (2017). Assessing the Depth of Cognitive Processing as the Basis for Potential User-State Adaptation. Front. Neurosci. 11:548, 2017a. doi: https://doi.org/10.3389/fnins.2017.00548
URI: https://depositonce.tu-berlin.de//handle/11303/6747
http://dx.doi.org/10.14279/depositonce-6173
Issue Date: 2017
Date Available: 12-Oct-2017
DDC Class: DDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik
DDC::500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie
Subject(s): Electroencephalography (EEG)
Event-Related Potentials (ERP)
cognitive processes
Sponsor/Funder: EC/FP7/611570/EU/Symbiotic Mind Computer Interaction for Information Seeking/MindSee
BMBF/01GQ0850/Verbundprojekt: Bernstein Fokus Neurotechnologie - Nichtinvasive Neurotechnologie für Mensch-Maschine Interaktion
Creative Commons License: https://creativecommons.org/licenses/by-nc/4.0/
References: https://doi.org/10.3389/fnins.2017.00548
Appears in Collections:Fachgebiet Neurotechnologie » Research Data

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behavioral_data.mat.zip1.47 kBZIP ArchiveView/Open
EEG_data.zip2.02 GBZIP ArchiveView/Open
participants_short_information.csv940 BCSVView/Open
ERP-Cognition-Dataset_Description_readme_.pdf262.58 kBAdobe PDFView/Open


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