EEG-Based Prediction of Successful Memory Formation During Vocabulary Learning
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Taeho | - |
dc.contributor.author | Chen, Yiyu | - |
dc.contributor.author | Fazli, Siamac | - |
dc.contributor.author | Wallraven, Christian | - |
dc.date.accessioned | 2021-08-30T09:42:34Z | - |
dc.date.available | 2021-08-30T09:42:34Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2020-11 | - |
dc.identifier.issn | 1534-4320 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/51982 | - |
dc.description.abstract | Previous Electroencephalography (EEG) and neuroimaging studies have found differences between brain signals for subsequently remembered and forgotten items during learning of items - it has even been shown that single trial prediction of memorization success is possible with a few target items. There has been little attempt, however, in validating the findings in an application-oriented context involving longer test spans with realistic learning materials encompassing more items. Hence, the present study investigates subsequent memory prediction within the application context of foreign-vocabulary learning. We employed an off-line, EEG-based paradigm in which Korean participants without prior German language experience learned 900 German words in paired-associate form. Our results using convolutional neural networks optimized for EEG-signal analysis show that above-chance classification is possible in this context allowing us to predict during learning which of the words would be successfully remembered later. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | BRAIN OSCILLATIONS | - |
dc.subject | PRESTIMULUS THETA | - |
dc.subject | RECOGNITION | - |
dc.subject | PERFORMANCE | - |
dc.subject | EXPERIENCE | - |
dc.subject | COMPONENT | - |
dc.subject | SYSTEM | - |
dc.subject | ERP | - |
dc.title | EEG-Based Prediction of Successful Memory Formation During Vocabulary Learning | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Wallraven, Christian | - |
dc.identifier.doi | 10.1109/TNSRE.2020.3023116 | - |
dc.identifier.scopusid | 2-s2.0-85095862005 | - |
dc.identifier.wosid | 000589256200004 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, v.28, no.11, pp.2377 - 2389 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | - |
dc.citation.title | IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING | - |
dc.citation.volume | 28 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 2377 | - |
dc.citation.endPage | 2389 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Rehabilitation | - |
dc.relation.journalWebOfScienceCategory | Engineering, Biomedical | - |
dc.relation.journalWebOfScienceCategory | Rehabilitation | - |
dc.subject.keywordPlus | BRAIN OSCILLATIONS | - |
dc.subject.keywordPlus | PRESTIMULUS THETA | - |
dc.subject.keywordPlus | RECOGNITION | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | EXPERIENCE | - |
dc.subject.keywordPlus | COMPONENT | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | ERP | - |
dc.subject.keywordAuthor | Electroencephalography | - |
dc.subject.keywordAuthor | Task analysis | - |
dc.subject.keywordAuthor | Training | - |
dc.subject.keywordAuthor | Encoding | - |
dc.subject.keywordAuthor | Vocabulary | - |
dc.subject.keywordAuthor | Neural activity | - |
dc.subject.keywordAuthor | Brain-computer interfaces | - |
dc.subject.keywordAuthor | Electroencephalography (EEG) | - |
dc.subject.keywordAuthor | learning | - |
dc.subject.keywordAuthor | subsequent memory prediction | - |
dc.subject.keywordAuthor | BCI | - |
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