2019
DOI: 10.1007/s10936-019-09682-7
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Effect of Cognitive Style on Language Control During Joint Language Switching: An ERP Study

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Cited by 9 publications
(6 citation statements)
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“…Considering the nature of the N2 and LPC components, together with the collected data in the current experiment, two temporal windows were chosen: 250–350 ms window for N2 and 450–650 ms window for LPC. Following previous ERP studies on language switching ( Zhang et al, 2020 ; Jiao et al, 2022a ), we analyzed the mean amplitude of the waveform across these two time windows of N2 (frontal: F1, FZ, F2; frontal-central: FC1, FCZ, FC2) and LPC (central: C1, CZ, C2; central-parietal: CP1, CPZ, CP2; parietal: P1, PZ, P2). We conducted a linear mixed-effects model for each time window for statistical analyses.…”
Section: Methodsmentioning
confidence: 99%
“…Considering the nature of the N2 and LPC components, together with the collected data in the current experiment, two temporal windows were chosen: 250–350 ms window for N2 and 450–650 ms window for LPC. Following previous ERP studies on language switching ( Zhang et al, 2020 ; Jiao et al, 2022a ), we analyzed the mean amplitude of the waveform across these two time windows of N2 (frontal: F1, FZ, F2; frontal-central: FC1, FCZ, FC2) and LPC (central: C1, CZ, C2; central-parietal: CP1, CPZ, CP2; parietal: P1, PZ, P2). We conducted a linear mixed-effects model for each time window for statistical analyses.…”
Section: Methodsmentioning
confidence: 99%
“…From another perspective, second language learning or acquisition needs real environment, and the materials under different environment will promote learners’ cognition on specific knowledge. Therefore, proper cognition features should be involved to meet learners’ language information processing (Cai et al, 2021; Zhang et al, 2020). The system could also act as a jointer of the cognition and the environment in language learning.…”
Section: The Automatic Resource Generation Methods and System For Csl...mentioning
confidence: 99%
“…In this field, computational models are generated in order to process natural languages in terms of the speech recognition, text-to-speech synthesis, and automated voice response (https://aclweb.org/portal/). Obviously, the research focuses of computational lin- (Zhao et al, 2021), eye-tracking (Barattieri et al, 2022Zeng et al, 2021), Event-relevant Product (ERP) (Saloranta et al, 2022;Zhang et al, 2019), lattice algorithm (Zhu & Clark, 2022), and questionnaires (Zhang et al, 2022;Kim & Kim, 2020) with advanced statistical methods. Apparently, it is quite prevalent for psycholinguists to use advanced technological research methods to probe the truth of language related with psychological development.…”
Section: The Scientific Features Of Linguistic Branchesmentioning
confidence: 99%