Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System

The accepted manuscript version of this article will be publicly available on 02/24/2026

Detalles Bibliográficos
Autores: Frost, Ram, Bogaerts, Louisa, Samuel, Arthur G., Magnuson, James S., Holt, Lori L., Christiansen, Morten H.
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/77376
Acceso en línea:http://hdl.handle.net/10810/77376
Access Level:acceso abierto
Palabra clave:Statistical learning
language
recurrent regularities
information foraging
novelty detection
curiosity
id ES_c83868d6f0e4e1b9aa12d5441094d521
oai_identifier_str oai:addi.ehu.eus:10810/77376
network_acronym_str ES
network_name_str España
repository_id_str
spelling Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging SystemFrost, RamBogaerts, LouisaSamuel, Arthur G.Magnuson, James S.Holt, Lori L.Christiansen, Morten H.Statistical learninglanguagerecurrent regularitiesinformation foragingnovelty detectioncuriosityThe accepted manuscript version of this article will be publicly available on 02/24/2026Statistical learning (SL) is typically assumed to be a core mechanism by which organisms learn covarying structures in the environment, with the main purpose of enabling predictions of expected events. Within this theoretical framework, the environment is viewed as relatively stable, and SL ‘captures’ the regularities therein through implicit unsupervised learning. Focusing primarily on language— the domain in which SL theory has been most influential—we review evidence that the environment is far from fixed: it is dynamic, in continual flux, and learners are far from passive absorbers of regularities; they interact with their environments, thereby selecting and even altering the patterns they learn from. We therefore argue for an alternative cognitive architecture, where SL instead serves as a subcomponent of an information foraging (IF) system. IF aims to detect and assimilate novel recurrent patterns in the input that deviate from randomness, for which SL supplies a baseline. The broad implications of this viewpoint and their relevance to recent debates in cognitive neuroscience are discussed.This paper was supported by the Israel Science Foundation (ISF) Grant, Project 705/20, awarded to R.F. R.F. and M.H.C. were further supported by a Binational Science Foundation (BSF) grant number 2022082. L.B. received funding within the framework of the Odysseus programme from the Research Foundation Flanders (FWO), Project G0F3121N. The Spanish Ministry of Science and Innovation provided support to A.G.S. via Grant PID2020-113348GB-I00, and to J.S.M. via Grant PID2020-119131GB-I00. A.G.S. and J.S.M. were supported by the Basque Government through the BERC 2018-2021 and BERC 2022-2025 programs, and by the Spanish State Research Agency through BCBL Severo Ochoa excellence accreditation SEV-2015-0490 and CEX2020-001010-S. J.S.M. was also supported in part by U.S. National Science Foundation grant 2043903. LLH was supported in part by a US National Science Foundation grant 1950054 and a US National Institutes of Health grant R01DC017734.American Physiological Association202620262026info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/77376reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/AEI/PID2020-113348GB-I00/info:eu-repo/grantAgreement/AEI/PID2020-119131GB-I00/info:eu-repo/grantAgreement/GV/BERC 2018–2021/info:eu-repo/grantAgreement/GV/BERC 2022–2025/info:eu-repo/grantAgreement/AEI/SEV-2015-0490/info:eu-repo/grantAgreement/AEI/SEV-CEX2020-001010-S/https://www.apa.org/pubs/journals/rev/info:eu-repo/semantics/openAccess© 2025 American Psychological Association.oai:addi.ehu.eus:10810/773762026-06-18T09:23:17Z
dc.title.none.fl_str_mv Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System
title Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System
spellingShingle Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System
Frost, Ram
Statistical learning
language
recurrent regularities
information foraging
novelty detection
curiosity
title_short Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System
title_full Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System
title_fullStr Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System
title_full_unstemmed Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System
title_sort Statistical Learning Subserves a Higher Purpose: Novelty Detection in an Information Foraging System
dc.creator.none.fl_str_mv Frost, Ram
Bogaerts, Louisa
Samuel, Arthur G.
Magnuson, James S.
Holt, Lori L.
Christiansen, Morten H.
author Frost, Ram
author_facet Frost, Ram
Bogaerts, Louisa
Samuel, Arthur G.
Magnuson, James S.
Holt, Lori L.
Christiansen, Morten H.
author_role author
author2 Bogaerts, Louisa
Samuel, Arthur G.
Magnuson, James S.
Holt, Lori L.
Christiansen, Morten H.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Statistical learning
language
recurrent regularities
information foraging
novelty detection
curiosity
topic Statistical learning
language
recurrent regularities
information foraging
novelty detection
curiosity
description The accepted manuscript version of this article will be publicly available on 02/24/2026
publishDate 2026
dc.date.none.fl_str_mv 2026
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/77376
url http://hdl.handle.net/10810/77376
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/PID2020-113348GB-I00/
info:eu-repo/grantAgreement/AEI/PID2020-119131GB-I00/
info:eu-repo/grantAgreement/GV/BERC 2018–2021/
info:eu-repo/grantAgreement/GV/BERC 2022–2025/
info:eu-repo/grantAgreement/AEI/SEV-2015-0490/
info:eu-repo/grantAgreement/AEI/SEV-CEX2020-001010-S/
https://www.apa.org/pubs/journals/rev/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
© 2025 American Psychological Association.
eu_rights_str_mv openAccess
rights_invalid_str_mv © 2025 American Psychological Association.
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Physiological Association
publisher.none.fl_str_mv American Physiological Association
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419266872180736
score 15,811543