<mets:mets LABEL="Eprints Item" OBJID="eprint_54620" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mets="http://www.loc.gov/METS/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:mods="http://www.loc.gov/mods/v3"><mets:metsHdr CREATEDATE="2026-10-10T02:42:49Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>Greenwich Academic Literature Archive</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_54620_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>Coupling between statistical learning and interference suppression</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Kata</mods:namePart><mods:namePart type="family">Horváth</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Dezso</mods:namePart><mods:namePart type="family">Nemeth</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Karolina</mods:namePart><mods:namePart type="family">Janacsek</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">Andrea</mods:namePart><mods:namePart type="family">Kóbor</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>In an ever-changing environment, synchronizing automatic and controlled behaviors is essential for successful adaptation. Yet, the relationship between these behaviors is often debated, partly because of the diverse approaches used to investigate them. The present study examined how statistical learning of environmental regularities, a process that supports automatic behaviors, and interference suppression, which contributes to controlled responding in the presence of distraction, interact when both operate concurrently. Participants completed a visual four-choice reaction time paradigm that combined a statistical learning task with the Eriksen flanker task. In this novel paradigm, a central target stimulus, surrounded by flanker stimuli, was either predictable or unpredictable based on the statistical regularities induced by the sequence of target stimuli. Statistical learning was indexed by the performance difference between predictable and unpredictable trials, whereas interference suppression was reflected by the flanker congruency effect (i.e., the performance difference between congruent and incongruent trials). Reaction times revealed a significant interaction: the flanker congruency effect was reduced on predictable trials, and the behavioral expression of statistical knowledge was larger in the incongruent than in the congruent condition. Together, these findings provide a proof-of-concept demonstration of a behavioral interaction between statistical learning and interference suppression within the present paradigm. Although this experimental design does not establish the causal direction of the interaction, the observed pattern indicates that learned predictability is associated with a reduced cost of conflicting distractors.</mods:abstract><mods:classification authority="lcc">BF Psychology</mods:classification><mods:classification authority="lcc">HA Statistics</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8601">2026-09-04</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Springer</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_54620"><mets:rightsMD ID="rights_eprint_54620_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
<p xmlns="http://www.w3.org/1999/xhtml"><strong>For work being deposited by its own author:</strong>
In self-archiving this collection of files and associated bibliographic
metadata, I grant Greenwich Academic Literature Archive the right to store
them and to make them permanently available publicly for free on-line.
I declare that this material is my own intellectual property and I
understand that Greenwich Academic Literature Archive does not assume any
responsibility if there is any breach of copyright in distributing these
files or metadata. (All authors are urged to prominently assert their
copyright on the title page of their work.)</p>

<p xmlns="http://www.w3.org/1999/xhtml"><strong>For work being deposited by someone other than its
author:</strong> I hereby declare that the collection of files and
associated bibliographic metadata that I am archiving at
Greenwich Academic Literature Archive is in the public domain. If this is
not the case, I accept full responsibility for any breach of copyright
that distributing these files or metadata may entail.</p>

<p xmlns="http://www.w3.org/1999/xhtml">Clicking on the <em>Deposit Item Now</em> button indicates your agreement to these
terms.</p>
    </mods:useAndReproduction></mets:xmlData></mets:mdWrap></mets:rightsMD></mets:amdSec><mets:fileSec><mets:fileGrp USE="reference"><mets:file SIZE="2284473" MIMETYPE="application/pdf" ID="eprint_54620_255849_1" OWNERID="https://gala.gre.ac.uk/id/eprint/54620/7/54620%20JANACSEK_Coupling_Between_Statistical_Learning_And_Interference_Suppressiong_%28OA%29_2026.pdf"><mets:FLocat xlink:href="https://gala.gre.ac.uk/id/eprint/54620/7/54620%20JANACSEK_Coupling_Between_Statistical_Learning_And_Interference_Suppressiong_%28OA%29_2026.pdf" LOCTYPE="URL" xlink:type="simple"></mets:FLocat></mets:file></mets:fileGrp></mets:fileSec><mets:structMap><mets:div DMDID="DMD_eprint_54620_mods" ADMID="TMD_eprint_54620"><mets:fptr FILEID="eprint_54620_document_255849_1"></mets:fptr></mets:div></mets:structMap></mets:mets>