Morphemes as letter chunks: Linguistic information enhances the learning of visual regularities

JR Lelonkiewicz, M Ktori, D Crepaldi - Journal of Memory and Language, 2023 - Elsevier
We have previously shown that readers use co-occurrence statistics to learn about the
presence and position of affix-like chunks in strings of pseudo-letters (Lelonkiewicz, Ktori & …

Modeling fashion as an emergent collective behavior of bored individuals

JPH Seiler, S Rumpel - Scientific reports, 2023 - nature.com
Boredom is an aversive mental state that is typically evoked by monotony and drives
individuals to seek novel information. Despite this effect on individual behavior, the …

General precedes specific in memory representations for structured experience.

TA Forest, AS Finn, ML Schlichting - Journal of Experimental …, 2022 - psycnet.apa.org
Decades of work has shown that learners rapidly extract structure from their environment,
later leveraging their knowledge of what is more versus less consistent with prior experience …

Chunk-based Incremental Processing and Learning: An integrated theory of word discovery, vocabulary growth, and speed of lexical processing

A Jessop, J Pine, F Gobet - 2023 - psyarxiv.com
Chunking theories argue that children discover their first words by extracting sub-sequences
embedded in their continuous input, but the mechanisms proposed in these accounts are …

Hebbian learning can explain rhythmic neural entrainment to statistical regularities

AD Endress - Developmental Science, 2024 - Wiley Online Library
In many domains, learners extract recurring units from continuous sequences. For example,
in unknown languages, fluent speech is perceived as a continuous signal. Learners need to …

Hebbian, correlational learning provides a memory-less mechanism for statistical learning irrespective of implementational choices: reply to Tovar and Westermann …

AD Endress, SP Johnson - Cognition, 2023 - Elsevier
Statistical learning relies on detecting the frequency of co-occurrences of items and has
been proposed to be crucial for a variety of learning problems, notably to learn and …

Transitional probabilities outweigh frequency of occurrence in statistical learning of simultaneously presented visual shapes

AD Endress - Memory & Cognition, 2024 - Springer
Statistical learning is a mechanism for detecting associations among co-occurring elements
in many domains and species. A key controversy is whether it leads to memory for discrete …

[PDF][PDF] Chunk-based Incremental Processing and Learning: An integrated theory of word discovery, implicit statistical learning, and speed of lexical processing

A Jessop, J Pine, F Gobet - 2024 - osf.io
According to chunking theories, children discover their first words by extracting sub-
sequences embedded in their continuous input. However, the mechanisms proposed in …

Visual statistical learning in infancy: Discrimination of fine‐grained regularities depends on early test trials

J Bertels, E San Anton, E Boursain, H Bulf… - Infancy, 2022 - Wiley Online Library
Infants' ability to detect statistical regularities between visual objects has been demonstrated
in previous studies (eg, Kirkham et al., Cognition, 83, 2002, B35). The extent to which infants …

Beyond noise: The role of speaker variability on statistical learning

L Melville, AK Black - Proceedings of the Annual Meeting of the …, 2023 - escholarship.org
Adult language learners have difficulty segmenting words from continuous speech when the
phonology is unfamiliar. Since speaker variability is known to improve acquisition of novel …