A sequence identification measurement model to investigate the implicit learning of metrical temporal patterns.
Identifieur interne : 003B25 ( PubMed/Corpus ); précédent : 003B24; suivant : 003B26A sequence identification measurement model to investigate the implicit learning of metrical temporal patterns.
Auteurs : Benjamin G. Schultz ; Catherine J. Stevens ; Peter E. Keller ; Barbara TillmannSource :
- PloS one [ 1932-6203 ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- geographic : New South Wales.
- physiology : Learning, Pattern Recognition, Physiological.
- Acoustic Stimulation, Adult, Female, Humans, Male, Middle Aged, Models, Psychological, Unconscious (Psychology).
Abstract
Implicit learning (IL) occurs unconsciously and without intention. Perceptual fluency is the ease of processing elicited by previous exposure to a stimulus. It has been assumed that perceptual fluency is associated with IL. However, the role of perceptual fluency following IL has not been investigated in temporal pattern learning. Two experiments by Schultz, Stevens, Keller, and Tillmann demonstrated the IL of auditory temporal patterns using a serial reaction-time task and a generation task based on the process dissociation procedure. The generation task demonstrated that learning was implicit in both experiments via motor fluency, that is, the inability to suppress learned information. With the aim to disentangle conscious and unconscious processes, we analyze unreported recognition data associated with the Schultz et al. experiments using the sequence identification measurement model. The model assumes that perceptual fluency reflects unconscious processes and IL. For Experiment 1, the model indicated that conscious and unconscious processes contributed to recognition of temporal patterns, but that unconscious processes had a greater influence on recognition than conscious processes. In the model implementation of Experiment 2, there was equal contribution of conscious and unconscious processes in the recognition of temporal patterns. As Schultz et al. demonstrated IL in both experiments using a generation task, and the conditions reported here in Experiments 1 and 2 were identical, two explanations are offered for the discrepancy in model and behavioral results based on the two tasks: 1) perceptual fluency may not be necessary to infer IL, or 2) conscious control over implicitly learned information may vary as a function of perceptual fluency and motor fluency.
DOI: 10.1371/journal.pone.0075163
PubMed: 24086461
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pubmed:24086461Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A sequence identification measurement model to investigate the implicit learning of metrical temporal patterns.</title><author><name sortKey="Schultz, Benjamin G" sort="Schultz, Benjamin G" uniqKey="Schultz B" first="Benjamin G" last="Schultz">Benjamin G. Schultz</name><affiliation><nlm:affiliation>MARCS Institute, University of Western Sydney, Sydney, New South Wales, Australia ; Lyon Neuroscience Research Center, Team Auditory Cognition and Psychoacoustics, Centre National de la Recherche Scientifique, Unité Mixtes de Recherche 5292, Institut National de la Santé et de la Recherche Médicale U1028, Université Lyon, Lyon, Rhône-Alpes, France.</nlm:affiliation></affiliation></author><author><name sortKey="Stevens, Catherine J" sort="Stevens, Catherine J" uniqKey="Stevens C" first="Catherine J" last="Stevens">Catherine J. Stevens</name></author><author><name sortKey="Keller, Peter E" sort="Keller, Peter E" uniqKey="Keller P" first="Peter E" last="Keller">Peter E. Keller</name></author><author><name sortKey="Tillmann, Barbara" sort="Tillmann, Barbara" uniqKey="Tillmann B" first="Barbara" last="Tillmann">Barbara Tillmann</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="RBID">pubmed:24086461</idno><idno type="pmid">24086461</idno><idno type="doi">10.1371/journal.pone.0075163</idno><idno type="wicri:Area/PubMed/Corpus">003B25</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">003B25</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A sequence identification measurement model to investigate the implicit learning of metrical temporal patterns.</title><author><name sortKey="Schultz, Benjamin G" sort="Schultz, Benjamin G" uniqKey="Schultz B" first="Benjamin G" last="Schultz">Benjamin G. Schultz</name><affiliation><nlm:affiliation>MARCS Institute, University of Western Sydney, Sydney, New South Wales, Australia ; Lyon Neuroscience Research Center, Team Auditory Cognition and Psychoacoustics, Centre National de la Recherche Scientifique, Unité Mixtes de Recherche 5292, Institut National de la Santé et de la Recherche Médicale U1028, Université Lyon, Lyon, Rhône-Alpes, France.</nlm:affiliation></affiliation></author><author><name sortKey="Stevens, Catherine J" sort="Stevens, Catherine J" uniqKey="Stevens C" first="Catherine J" last="Stevens">Catherine J. Stevens</name></author><author><name sortKey="Keller, Peter E" sort="Keller, Peter E" uniqKey="Keller P" first="Peter E" last="Keller">Peter E. Keller</name></author><author><name sortKey="Tillmann, Barbara" sort="Tillmann, Barbara" uniqKey="Tillmann B" first="Barbara" last="Tillmann">Barbara Tillmann</name></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acoustic Stimulation</term><term>Adult</term><term>Female</term><term>Humans</term><term>Learning (physiology)</term><term>Male</term><term>Middle Aged</term><term>Models, Psychological</term><term>New South Wales</term><term>Pattern Recognition, Physiological (physiology)</term><term>Unconscious (Psychology)</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>New South Wales</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Learning</term><term>Pattern Recognition, Physiological</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Acoustic Stimulation</term><term>Adult</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Models, Psychological</term><term>Unconscious (Psychology)</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Implicit learning (IL) occurs unconsciously and without intention. Perceptual fluency is the ease of processing elicited by previous exposure to a stimulus. It has been assumed that perceptual fluency is associated with IL. However, the role of perceptual fluency following IL has not been investigated in temporal pattern learning. Two experiments by Schultz, Stevens, Keller, and Tillmann demonstrated the IL of auditory temporal patterns using a serial reaction-time task and a generation task based on the process dissociation procedure. The generation task demonstrated that learning was implicit in both experiments via motor fluency, that is, the inability to suppress learned information. With the aim to disentangle conscious and unconscious processes, we analyze unreported recognition data associated with the Schultz et al. experiments using the sequence identification measurement model. The model assumes that perceptual fluency reflects unconscious processes and IL. For Experiment 1, the model indicated that conscious and unconscious processes contributed to recognition of temporal patterns, but that unconscious processes had a greater influence on recognition than conscious processes. In the model implementation of Experiment 2, there was equal contribution of conscious and unconscious processes in the recognition of temporal patterns. As Schultz et al. demonstrated IL in both experiments using a generation task, and the conditions reported here in Experiments 1 and 2 were identical, two explanations are offered for the discrepancy in model and behavioral results based on the two tasks: 1) perceptual fluency may not be necessary to infer IL, or 2) conscious control over implicitly learned information may vary as a function of perceptual fluency and motor fluency.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24086461</PMID><DateCreated><Year>2013</Year><Month>10</Month><Day>02</Day></DateCreated><DateCompleted><Year>2014</Year><Month>07</Month><Day>07</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>9</Issue><PubDate><Year>2013</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>A sequence identification measurement model to investigate the implicit learning of metrical temporal patterns.</ArticleTitle><Pagination><MedlinePgn>e75163</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0075163</ELocationID><Abstract><AbstractText>Implicit learning (IL) occurs unconsciously and without intention. Perceptual fluency is the ease of processing elicited by previous exposure to a stimulus. It has been assumed that perceptual fluency is associated with IL. However, the role of perceptual fluency following IL has not been investigated in temporal pattern learning. Two experiments by Schultz, Stevens, Keller, and Tillmann demonstrated the IL of auditory temporal patterns using a serial reaction-time task and a generation task based on the process dissociation procedure. The generation task demonstrated that learning was implicit in both experiments via motor fluency, that is, the inability to suppress learned information. With the aim to disentangle conscious and unconscious processes, we analyze unreported recognition data associated with the Schultz et al. experiments using the sequence identification measurement model. The model assumes that perceptual fluency reflects unconscious processes and IL. For Experiment 1, the model indicated that conscious and unconscious processes contributed to recognition of temporal patterns, but that unconscious processes had a greater influence on recognition than conscious processes. In the model implementation of Experiment 2, there was equal contribution of conscious and unconscious processes in the recognition of temporal patterns. As Schultz et al. demonstrated IL in both experiments using a generation task, and the conditions reported here in Experiments 1 and 2 were identical, two explanations are offered for the discrepancy in model and behavioral results based on the two tasks: 1) perceptual fluency may not be necessary to infer IL, or 2) conscious control over implicitly learned information may vary as a function of perceptual fluency and motor fluency.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Schultz</LastName><ForeName>Benjamin G</ForeName><Initials>BG</Initials><AffiliationInfo><Affiliation>MARCS Institute, University of Western Sydney, Sydney, New South Wales, Australia ; Lyon Neuroscience Research Center, Team Auditory Cognition and Psychoacoustics, Centre National de la Recherche Scientifique, Unité Mixtes de Recherche 5292, Institut National de la Santé et de la Recherche Médicale U1028, Université Lyon, Lyon, Rhône-Alpes, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Stevens</LastName><ForeName>Catherine J</ForeName><Initials>CJ</Initials></Author><Author ValidYN="Y"><LastName>Keller</LastName><ForeName>Peter E</ForeName><Initials>PE</Initials></Author><Author ValidYN="Y"><LastName>Tillmann</LastName><ForeName>Barbara</ForeName><Initials>B</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>09</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Q J Exp 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