000110593 001__ 110593
000110593 005__ 20240319080955.0
000110593 0247_ $$2doi$$a10.3758/s13421-021-01264-0
000110593 0248_ $$2sideral$$a127298
000110593 037__ $$aART-2022-127298
000110593 041__ $$aeng
000110593 100__ $$aPolyanskaya L.$$uUniversidad de Zaragoza
000110593 245__ $$aCognitive mechanisms of statistical learning and segmentation of continuous sensory input
000110593 260__ $$c2022
000110593 5060_ $$aAccess copy available to the general public$$fUnrestricted
000110593 5203_ $$aTwo classes of cognitive mechanisms have been proposed to explain segmentation of continuous sensory input into discrete recurrent constituents: clustering and boundary-finding mechanisms. Clustering mechanisms are based on identifying frequently co-occurring elements and merging them together as parts that form a single constituent. Bracketing (or boundary-finding) mechanisms work by identifying rarely co-occurring elements that correspond to the boundaries between discrete constituents. In a series of behavioral experiments, I tested which mechanisms are at play in the visual modality both during segmentation of a continuous syllabic sequence into discrete word-like constituents and during recognition of segmented constituents. Additionally, I explored conscious awareness of the products of statistical learning—whole constituents versus merged clusters of smaller subunits. My results suggest that both online segmentation and offline recognition of extracted constituents rely on detecting frequently co-occurring elements, a process likely based on associative memory. However, people are more aware of having learnt whole tokens than of recurrent composite clusters. © 2021, The Author(s).
000110593 536__ $$9info:eu-repo/grantAgreement/EC/H2020/792331/EU/Metacognition and bilingualism in linguistic and non-linguistic domains/MetaBil$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 792331-MetaBil
000110593 540__ $$9info:eu-repo/semantics/openAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/
000110593 590__ $$a2.4$$b2022
000110593 591__ $$aPSYCHOLOGY, EXPERIMENTAL$$b42 / 89 = 0.472$$c2022$$dQ2$$eT2
000110593 594__ $$a4.2$$b2022
000110593 592__ $$a1.025$$b2022
000110593 593__ $$aArts and Humanities (miscellaneous)$$c2022$$dQ1
000110593 593__ $$aNeuropsychology and Physiological Psychology$$c2022$$dQ1
000110593 593__ $$aMedicine (miscellaneous)$$c2022$$dQ1
000110593 593__ $$aExperimental and Cognitive Psychology$$c2022$$dQ1
000110593 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000110593 7102_ $$14009$$2730$$aUniversidad de Zaragoza$$bDpto. Psicología y Sociología$$cÁrea Psicología Básica
000110593 773__ $$g50 (2022), 979–996$$pMem. cogn.$$tMemory and Cognition$$x0090-502X
000110593 8564_ $$s1231792$$uhttps://zaguan.unizar.es/record/110593/files/texto_completo.pdf$$yVersión publicada
000110593 8564_ $$s2537031$$uhttps://zaguan.unizar.es/record/110593/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000110593 909CO $$ooai:zaguan.unizar.es:110593$$particulos$$pdriver
000110593 951__ $$a2024-03-18-13:31:34
000110593 980__ $$aARTICLE