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Extraction of working memory load and the importance of understanding the temporal dynamics
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-5832-5452
2017 (English)In: International IEEE/EMBS Conference on Neural Engineering, NER, IEEE Computer Society , 2017, 641-647 p., 8008433Conference paper, Published paper (Refereed)
Abstract [en]

Working memory processing is central for higher-order cognitive functions. Although the ability CP to access and extract working memory load has been proven feasible, the temporal resolution is low and cross-task generalization is poor. In this study, EEG oscillatory activity CP was recorded from sixteen healthy subjects while they performed two versions of the visual n-back task. Observed effects in the working memory-related EEG oscillatory activity CP, specifically in theta, alpha and low beta power, are significantly different in the two tasks (i.e. two categories of visual stimuli) and these differences are greatest after image onset. Furthermore, cross-task generalization can be obtained by concatenating both tasks and although similar performances are observed before and after image onset, this study highlights the complexity CP of working memory processing related to different categories of visual stimuli, particularly after image onset, that are crucial to understand, in order to interpret the extraction of working memory load.

Place, publisher, year, edition, pages
IEEE Computer Society , 2017. 641-647 p., 8008433
Keyword [en]
Engineering, Industrial engineering, After-images, Cognitive functions, Healthy subjects, Higher-order, Temporal dynamics, Temporal resolution, Visual stimulus, Working memory, Extraction
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-36430DOI: 10.1109/NER.2017.8008433Scopus ID: 2-s2.0-85028596400ISBN: 9781538619162 OAI: oai:DiVA.org:mdh-36430DiVA: diva2:1141148
Conference
8th International IEEE EMBS Conference on Neural Engineering, NER 2017, 25 May 2017 through 28 May 2017
Available from: 2017-09-14 Created: 2017-09-14 Last updated: 2017-09-14Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf