Perceptual-learning evidence for inter-onset-interval- and frequency-specific processing of fast rhythms.
Identifieur interne : 000496 ( Main/Exploration ); précédent : 000495; suivant : 000497Perceptual-learning evidence for inter-onset-interval- and frequency-specific processing of fast rhythms.
Auteurs : Ruijing Ning [États-Unis] ; Samuel J. Trosman [États-Unis] ; Andrew T. Sabin [États-Unis] ; Beverly A. Wright [États-Unis]Source :
- Attention, perception & psychophysics [ 1943-393X ] ; 2019.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Analyse de variance (MeSH), Apprentissage (physiologie), Femelle (MeSH), Humains (MeSH), Jeune adulte (MeSH), Musique (MeSH), Mâle (MeSH), Perception auditive (physiologie), Perception du temps (physiologie), Psychoacoustique (MeSH), Seuils sensoriels (MeSH), Stimulation acoustique (méthodes).
- MESH :
- méthodes : Stimulation acoustique.
- physiologie : Apprentissage, Perception auditive, Perception du temps.
- Adulte, Analyse de variance, Femelle, Humains, Jeune adulte, Musique, Mâle, Psychoacoustique, Seuils sensoriels.
English descriptors
- KwdEn :
- MESH :
- methods : Acoustic Stimulation.
- physiology : Auditory Perception, Learning, Time Perception.
- Adult, Analysis of Variance, Female, Humans, Male, Music, Psychoacoustics, Sensory Thresholds, Young Adult.
Abstract
Rhythm is fundamental to music and speech, yet little is known about how even simple rhythmic patterns are processed. Here we investigated the processing of isochronous rhythms in the short inter-onset-interval (IOI) range (IOIs < 250-400 ms) using a perceptual-learning paradigm. Trained listeners (n=8) practiced anisochrony detection with a 100-ms IOI marked by 1-kHz tones, 720 trials per day for 7 days. Between pre- and post-training tests, trained listeners improved significantly more than controls (no training; n=8) on the anisochrony-detection condition that the trained listeners practiced. However, the learning on anisochrony detection did not generalize to temporal-interval discrimination with the trained IOI (100 ms) and marker frequency (1 kHz) or to anisochrony detection with an untrained marker frequency (4 kHz or variable frequency vs. 1 kHz), and generalized negatively to anisochrony detection with an untrained IOI (200 ms vs. 100 ms). Further, pre-training thresholds were correlated among nearly all of the conditions with the same IOI (100-ms IOIs), but not between conditions with different IOIs (100-ms vs. 200-ms IOIs). Thus, it appears that some task-, IOI-, and frequency-specific processes are involved in fast-rhythm processing. These outcomes are most consistent with a holistic rhythm-processing model in which a holistic "image" of the stimulus is compared to a stimulus-specific template.
DOI: 10.3758/s13414-018-1631-7
PubMed: 30488189
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Perceptual-learning evidence for inter-onset-interval- and frequency-specific processing of fast rhythms.</title><author><name sortKey="Ning, Ruijing" sort="Ning, Ruijing" uniqKey="Ning R" first="Ruijing" last="Ning">Ruijing Ning</name><affiliation wicri:level="2"><nlm:affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA. ruijingning2015@u.northwestern.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation></author><author><name sortKey="Trosman, Samuel J" sort="Trosman, Samuel J" uniqKey="Trosman S" first="Samuel J" last="Trosman">Samuel J. Trosman</name><affiliation wicri:level="2"><nlm:affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation></author><author><name sortKey="Sabin, Andrew T" sort="Sabin, Andrew T" uniqKey="Sabin A" first="Andrew T" last="Sabin">Andrew T. Sabin</name><affiliation wicri:level="2"><nlm:affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation></author><author><name sortKey="Wright, Beverly A" sort="Wright, Beverly A" uniqKey="Wright B" first="Beverly A" last="Wright">Beverly A. Wright</name><affiliation wicri:level="2"><nlm:affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Knowles Hearing Center, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Knowles Hearing Center, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Northwestern University Institute for Neuroscience, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Northwestern University Institute for Neuroscience, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2019">2019</date><idno type="RBID">pubmed:30488189</idno><idno type="pmid">30488189</idno><idno type="doi">10.3758/s13414-018-1631-7</idno><idno type="wicri:Area/Main/Corpus">000639</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000639</idno><idno type="wicri:Area/Main/Curation">000639</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000639</idno><idno type="wicri:Area/Main/Exploration">000639</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Perceptual-learning evidence for inter-onset-interval- and frequency-specific processing of fast rhythms.</title><author><name sortKey="Ning, Ruijing" sort="Ning, Ruijing" uniqKey="Ning R" first="Ruijing" last="Ning">Ruijing Ning</name><affiliation wicri:level="2"><nlm:affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA. ruijingning2015@u.northwestern.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation></author><author><name sortKey="Trosman, Samuel J" sort="Trosman, Samuel J" uniqKey="Trosman S" first="Samuel J" last="Trosman">Samuel J. Trosman</name><affiliation wicri:level="2"><nlm:affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation></author><author><name sortKey="Sabin, Andrew T" sort="Sabin, Andrew T" uniqKey="Sabin A" first="Andrew T" last="Sabin">Andrew T. Sabin</name><affiliation wicri:level="2"><nlm:affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation></author><author><name sortKey="Wright, Beverly A" sort="Wright, Beverly A" uniqKey="Wright B" first="Beverly A" last="Wright">Beverly A. Wright</name><affiliation wicri:level="2"><nlm:affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Knowles Hearing Center, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Knowles Hearing Center, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation><affiliation wicri:level="2"><nlm:affiliation>Northwestern University Institute for Neuroscience, Northwestern University, Evanston, IL, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Northwestern University Institute for Neuroscience, Northwestern University, Evanston, IL</wicri:regionArea><placeName><region type="state">Illinois</region></placeName></affiliation></author></analytic><series><title level="j">Attention, perception & psychophysics</title><idno type="eISSN">1943-393X</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Acoustic Stimulation (methods)</term><term>Adult (MeSH)</term><term>Analysis of Variance (MeSH)</term><term>Auditory Perception (physiology)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Learning (physiology)</term><term>Male (MeSH)</term><term>Music (MeSH)</term><term>Psychoacoustics (MeSH)</term><term>Sensory Thresholds (MeSH)</term><term>Time Perception (physiology)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Analyse de variance (MeSH)</term><term>Apprentissage (physiologie)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Jeune adulte (MeSH)</term><term>Musique (MeSH)</term><term>Mâle (MeSH)</term><term>Perception auditive (physiologie)</term><term>Perception du temps (physiologie)</term><term>Psychoacoustique (MeSH)</term><term>Seuils sensoriels (MeSH)</term><term>Stimulation acoustique (méthodes)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Acoustic Stimulation</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Stimulation acoustique</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Apprentissage</term><term>Perception auditive</term><term>Perception du temps</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Auditory Perception</term><term>Learning</term><term>Time Perception</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Analysis of Variance</term><term>Female</term><term>Humans</term><term>Male</term><term>Music</term><term>Psychoacoustics</term><term>Sensory Thresholds</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Analyse de variance</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Musique</term><term>Mâle</term><term>Psychoacoustique</term><term>Seuils sensoriels</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Rhythm is fundamental to music and speech, yet little is known about how even simple rhythmic patterns are processed. Here we investigated the processing of isochronous rhythms in the short inter-onset-interval (IOI) range (IOIs < 250-400 ms) using a perceptual-learning paradigm. Trained listeners (n=8) practiced anisochrony detection with a 100-ms IOI marked by 1-kHz tones, 720 trials per day for 7 days. Between pre- and post-training tests, trained listeners improved significantly more than controls (no training; n=8) on the anisochrony-detection condition that the trained listeners practiced. However, the learning on anisochrony detection did not generalize to temporal-interval discrimination with the trained IOI (100 ms) and marker frequency (1 kHz) or to anisochrony detection with an untrained marker frequency (4 kHz or variable frequency vs. 1 kHz), and generalized negatively to anisochrony detection with an untrained IOI (200 ms vs. 100 ms). Further, pre-training thresholds were correlated among nearly all of the conditions with the same IOI (100-ms IOIs), but not between conditions with different IOIs (100-ms vs. 200-ms IOIs). Thus, it appears that some task-, IOI-, and frequency-specific processes are involved in fast-rhythm processing. These outcomes are most consistent with a holistic rhythm-processing model in which a holistic "image" of the stimulus is compared to a stimulus-specific template.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">30488189</PMID><DateCompleted><Year>2019</Year><Month>03</Month><Day>14</Day></DateCompleted><DateRevised><Year>2019</Year><Month>03</Month><Day>14</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1943-393X</ISSN><JournalIssue CitedMedium="Internet"><Volume>81</Volume><Issue>2</Issue><PubDate><Year>2019</Year><Month>Feb</Month></PubDate></JournalIssue><Title>Attention, perception & psychophysics</Title><ISOAbbreviation>Atten Percept Psychophys</ISOAbbreviation></Journal><ArticleTitle>Perceptual-learning evidence for inter-onset-interval- and frequency-specific processing of fast rhythms.</ArticleTitle><Pagination><MedlinePgn>533-542</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3758/s13414-018-1631-7</ELocationID><Abstract><AbstractText>Rhythm is fundamental to music and speech, yet little is known about how even simple rhythmic patterns are processed. Here we investigated the processing of isochronous rhythms in the short inter-onset-interval (IOI) range (IOIs < 250-400 ms) using a perceptual-learning paradigm. Trained listeners (n=8) practiced anisochrony detection with a 100-ms IOI marked by 1-kHz tones, 720 trials per day for 7 days. Between pre- and post-training tests, trained listeners improved significantly more than controls (no training; n=8) on the anisochrony-detection condition that the trained listeners practiced. However, the learning on anisochrony detection did not generalize to temporal-interval discrimination with the trained IOI (100 ms) and marker frequency (1 kHz) or to anisochrony detection with an untrained marker frequency (4 kHz or variable frequency vs. 1 kHz), and generalized negatively to anisochrony detection with an untrained IOI (200 ms vs. 100 ms). Further, pre-training thresholds were correlated among nearly all of the conditions with the same IOI (100-ms IOIs), but not between conditions with different IOIs (100-ms vs. 200-ms IOIs). Thus, it appears that some task-, IOI-, and frequency-specific processes are involved in fast-rhythm processing. These outcomes are most consistent with a holistic rhythm-processing model in which a holistic "image" of the stimulus is compared to a stimulus-specific template.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ning</LastName><ForeName>Ruijing</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA. ruijingning2015@u.northwestern.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Trosman</LastName><ForeName>Samuel J</ForeName><Initials>SJ</Initials><AffiliationInfo><Affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sabin</LastName><ForeName>Andrew T</ForeName><Initials>AT</Initials><AffiliationInfo><Affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wright</LastName><ForeName>Beverly A</ForeName><Initials>BA</Initials><AffiliationInfo><Affiliation>Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Knowles Hearing Center, Northwestern University, Evanston, IL, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Northwestern University Institute for Neuroscience, Northwestern University, Evanston, IL, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>Pacific Grant/Contract No. N66001-17-2-4011</GrantID><Agency>Defense Advanced Research Projects Agency</Agency><Country></Country></Grant><Grant><GrantID>Undergraduate Summer Research Grant</GrantID><Agency>Northwestern University</Agency><Country></Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Atten Percept Psychophys</MedlineTA><NlmUniqueID>101495384</NlmUniqueID><ISSNLinking>1943-3921</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000161" MajorTopicYN="N">Acoustic Stimulation</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000704" MajorTopicYN="N">Analysis of Variance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001307" MajorTopicYN="N">Auditory Perception</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007858" MajorTopicYN="N">Learning</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009146" MajorTopicYN="Y">Music</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011571" MajorTopicYN="N">Psychoacoustics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012684" MajorTopicYN="N">Sensory Thresholds</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013998" MajorTopicYN="N">Time Perception</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Perceptual learning</Keyword><Keyword MajorTopicYN="N">Psychoacoustics</Keyword><Keyword MajorTopicYN="N">Temporal processing</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>11</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>3</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>11</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">30488189</ArticleId><ArticleId IdType="doi">10.3758/s13414-018-1631-7</ArticleId><ArticleId IdType="pii">10.3758/s13414-018-1631-7</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>Illinois</li></region></list><tree><country name="États-Unis"><region name="Illinois"><name sortKey="Ning, Ruijing" sort="Ning, Ruijing" uniqKey="Ning R" first="Ruijing" last="Ning">Ruijing Ning</name></region><name sortKey="Sabin, Andrew T" sort="Sabin, Andrew T" uniqKey="Sabin A" first="Andrew T" last="Sabin">Andrew T. Sabin</name><name sortKey="Trosman, Samuel J" sort="Trosman, Samuel J" uniqKey="Trosman S" first="Samuel J" last="Trosman">Samuel J. Trosman</name><name sortKey="Wright, Beverly A" sort="Wright, Beverly A" uniqKey="Wright B" first="Beverly A" last="Wright">Beverly A. Wright</name><name sortKey="Wright, Beverly A" sort="Wright, Beverly A" uniqKey="Wright B" first="Beverly A" last="Wright">Beverly A. Wright</name><name sortKey="Wright, Beverly A" sort="Wright, Beverly A" uniqKey="Wright B" first="Beverly A" last="Wright">Beverly A. Wright</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/SanteMusiqueV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000496 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000496 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= SanteMusiqueV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:30488189
|texte= Perceptual-learning evidence for inter-onset-interval- and frequency-specific processing of fast rhythms.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:30488189" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a SanteMusiqueV1
| This area was generated with Dilib version V0.6.38. |  |