Dissociable behavioural outcomes of visual statistical learning.
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| Title: | Dissociable behavioural outcomes of visual statistical learning. |
|---|---|
| Authors: | Bays, Brett C. (AUTHOR), Turk-Browne, Nicholas B. (AUTHOR), Seitz, Aaron R. (AUTHOR) |
| Source: | Visual Cognition. Oct-Dec2015, Vol. 23 Issue 9/10, p1072-1097. 26p. |
| Subjects: | Associative learning, Recognition (Psychology), Stimulus & response (Psychology), Memory, Cognition, Behavioral research |
| Abstract: | Statistical learning refers to the extraction of probabilistic relationships between stimuli and is increasingly used as a method to understand learning processes. However, numerous cognitive processes are sensitive to the statistical relationships between stimuli and any one measure of learning may conflate these processes; to date little research has focused on differentiating these processes. To understand how multiple processes underlie statistical learning, here we compared, within the same study, operational measures of learning from different tasks that may be differentially sensitive to these processes. In Experiment 1, participants were visually exposed to temporal regularities embedded in a stream of shapes. Their task was to periodically detect whether a shape, whose contrast was staircased to a threshold level, was present or absent. Afterwards, they completed a search task, where statistically predictable shapes were found more quickly. We used the search task to label shape pairs as “learned” or “non-learned”, and then used these labels to analyse the detection task. We found a dissociation between learning on the search task and the detection task where only non-learned pairs showed learning effects in the detection task. This finding was replicated in further experiments with recognition memory (Experiment 2) and associative learning tasks (Experiment 3). Taken together, these findings are consistent with the view that statistical learning may comprise a family of processes that can produce dissociable effects on different aspects of behaviour. [ABSTRACT FROM PUBLISHER] |
| Copyright of Visual Cognition is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 116415515 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Dissociable behavioural outcomes of visual statistical learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bays%2C+Brett+C%2E%22">Bays, Brett C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Turk-Browne%2C+Nicholas+B%2E%22">Turk-Browne, Nicholas B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Seitz%2C+Aaron+R%2E%22">Seitz, Aaron R.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Visual+Cognition%22">Visual Cognition</searchLink>. Oct-Dec2015, Vol. 23 Issue 9/10, p1072-1097. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Associative+learning%22">Associative learning</searchLink><br /><searchLink fieldCode="DE" term="%22Recognition+%28Psychology%29%22">Recognition (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Stimulus+%26+response+%28Psychology%29%22">Stimulus & response (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Memory%22">Memory</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Behavioral+research%22">Behavioral research</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Statistical learning refers to the extraction of probabilistic relationships between stimuli and is increasingly used as a method to understand learning processes. However, numerous cognitive processes are sensitive to the statistical relationships between stimuli and any one measure of learning may conflate these processes; to date little research has focused on differentiating these processes. To understand how multiple processes underlie statistical learning, here we compared, within the same study, operational measures of learning from different tasks that may be differentially sensitive to these processes. In Experiment 1, participants were visually exposed to temporal regularities embedded in a stream of shapes. Their task was to periodically detect whether a shape, whose contrast was staircased to a threshold level, was present or absent. Afterwards, they completed a search task, where statistically predictable shapes were found more quickly. We used the search task to label shape pairs as “learned” or “non-learned”, and then used these labels to analyse the detection task. We found a dissociation between learning on the search task and the detection task where only non-learned pairs showed learning effects in the detection task. This finding was replicated in further experiments with recognition memory (Experiment 2) and associative learning tasks (Experiment 3). Taken together, these findings are consistent with the view that statistical learning may comprise a family of processes that can produce dissociable effects on different aspects of behaviour. [ABSTRACT FROM PUBLISHER] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Visual Cognition is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=116415515 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/13506285.2016.1139647 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1072 Subjects: – SubjectFull: Associative learning Type: general – SubjectFull: Recognition (Psychology) Type: general – SubjectFull: Stimulus & response (Psychology) Type: general – SubjectFull: Memory Type: general – SubjectFull: Cognition Type: general – SubjectFull: Behavioral research Type: general Titles: – TitleFull: Dissociable behavioural outcomes of visual statistical learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bays, Brett C. – PersonEntity: Name: NameFull: Turk-Browne, Nicholas B. – PersonEntity: Name: NameFull: Seitz, Aaron R. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct-Dec2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 13506285 Numbering: – Type: volume Value: 23 – Type: issue Value: 9/10 Titles: – TitleFull: Visual Cognition Type: main |
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