Cognitive mechanisms of statistical learning and segmentation of continuous sensory input

Polyanskaya L. (Universidad de Zaragoza)

Resumen: Two 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).

Idioma: Inglés

DOI: 10.3758/s13421-021-01264-0

Año: 2022

Publicado en: Memory and Cognition 50 (2022), 979–996
ISSN: 0090-502X

Factor impacto JCR: 2.4 (2022)

Categ. JCR: PSYCHOLOGY, EXPERIMENTAL rank: 42 / 89 = 0.472 (2022) - Q2 - T2

Factor impacto CITESCORE: 4.2 - Arts and Humanities (Q1) - Psychology (Q2)

Factor impacto SCIMAGO: 1.025 - Arts and Humanities (miscellaneous) (Q1) - Neuropsychology and Physiological Psychology (Q1) - Medicine (miscellaneous) (Q1) - Experimental and Cognitive Psychology (Q1)

Financiación: info:eu-repo/grantAgreement/EC/H2020/792331/EU/Metacognition and bilingualism in linguistic and non-linguistic domains/MetaBil

Tipo y forma: Article (Published version)

Área (Departamento): Área Psicología Básica (Dpto. Psicología y Sociología)