2019
DOI: 10.1038/s41598-019-45978-3
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Power-spectra and cross-frequency coupling changes in visual and Audio-visual acquired equivalence learning

Abstract: The three phases of the applied acquired equivalence learning test, i.e. acquisition, retrieval and generalization, investigate the capabilities of humans in associative learning, working memory load and rule-transfer, respectively. Earlier findings denoted the role of different subcortical structures and cortical regions in the visual test. However, there is a lack of information about how multimodal cues modify the EEG-patterns during acquired equivalence learning. To test this we have recorded EEG from 18 h… Show more

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Cited by 9 publications
(13 citation statements)
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“…Thus, in the present study, we have focused on what EEG-parameters are important predicting WM-load and/or stimulus modality. How these parameters differ between conditions exceeds the scope of the current study, and has been answered elsewhere (Puszta et al, 2019 ).…”
Section: Introductionmentioning
confidence: 66%
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“…Thus, in the present study, we have focused on what EEG-parameters are important predicting WM-load and/or stimulus modality. How these parameters differ between conditions exceeds the scope of the current study, and has been answered elsewhere (Puszta et al, 2019 ).…”
Section: Introductionmentioning
confidence: 66%
“…In the current study, we hypothesized that the accuracy of predicting stimulus modality will be high, at least in terms of prediction based on the power and CFC results, as indicated in the previous publication (Puszta et al, 2019 ). Instead of using classical statistical methods, the current study applied machine learning classification algorithms to reveal the EEG features considered important for stimulus modality and/or WM load.…”
Section: Introductionmentioning
confidence: 81%
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