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    • Petersson, Karl Magnus (3)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 3 of 3 1 Disentangling stimulus plausibility and contextual congruency: Electrophysiological evidence for differential cognitive dynamics Coco, Moreno I.; Araujo, Susana; Petersson, Karl Magnus. - : Elsevier, 2017 BASE Show details 2 Eye-movements in implicit artificial grammar learning Silva, Susana; Inácio, Filomena; Folia, Vasiliki; Petersson, Karl Magnus. - : American Psychological Association, 2017 Abstract: Artificial grammar learning (AGL) has been probed with forced-choice behavioral tests (active tests). Recent attempts to probe the outcomes of learning (implicitly acquired knowledge) with eye-movement responses (passive tests) have shown null results. However, these latter studies have not tested for sensitivity effects, for example, increased eye movements on a printed violation. In this study, we tested for sensitivity effects in AGL tests with (Experiment 1) and without (Experiment 2) concurrent active tests (preference- and grammaticality classification) in an eye-tracking experiment. Eye movements discriminated between sequence types in passive tests and more so in active tests. The eye-movement profile did not differ between preference and grammaticality classification, and it resembled sensitivity effects commonly observed in natural syntax processing. Our findings show that the outcomes of implicit structured sequence learning can be characterized in eye tracking. More specifically, whole trial measures (dwell time, number of fixations) showed robust AGL effects, whereas first-pass measures (first-fixation duration) did not. Furthermore, our findings strengthen the link between artificial and natural syntax processing, and they shed light on the factors that determine performance differences in preference and grammaticality classification tests. ; Max Planck Institute for Psycholinguistics ; Donders Institute for Brain, Cognition and Behavior ; Vetenskapsradet ; Swedish Dyslexia Foundation Keyword: Artificial grammar learning; Brain potentials; Contribute; Eye-tracking; Grammaticality; Implicit learning; Language; Macaque; Mechanisms; Memory; Monkeys; Preference classification; Syntactic processing; Syntactic structure; Systems URL: http://hdl.handle.net/10400.1/13006 https://doi.org/10.1037/xlm0000350 BASE Hide details 3 The P600 in Implicit Artificial Grammar Learning Silva, Susana; Folia, Vasiliki; Hagoort, Peter. - : Wiley, 2017 BASE Show details

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