DYNAMIC PREDICTIONS: OSCILLATIONS AND SYNCHRONY IN TOP?DOWN PROCESSING.
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| Title: | DYNAMIC PREDICTIONS: OSCILLATIONS AND SYNCHRONY IN TOP?DOWN PROCESSING. |
|---|---|
| Authors: | Engel, Andreas K., Fries, Pascal, Singer, Wolf |
| Source: | Nature Reviews Neuroscience. Oct2001, Vol. 2 Issue 10, p704-716. 13p. |
| Subjects: | Oscillations, Brain, Sensory perception, Cognitive neuroscience, Cognition |
| Abstract: | Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top?down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing. [ABSTRACT FROM AUTHOR] |
| Copyright of Nature Reviews Neuroscience is the property of Springer Nature 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 11360104 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: DYNAMIC PREDICTIONS: OSCILLATIONS AND SYNCHRONY IN TOP?DOWN PROCESSING. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Engel%2C+Andreas+K%2E%22">Engel, Andreas K.</searchLink><br /><searchLink fieldCode="AR" term="%22Fries%2C+Pascal%22">Fries, Pascal</searchLink><br /><searchLink fieldCode="AR" term="%22Singer%2C+Wolf%22">Singer, Wolf</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nature+Reviews+Neuroscience%22">Nature Reviews Neuroscience</searchLink>. Oct2001, Vol. 2 Issue 10, p704-716. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Oscillations%22">Oscillations</searchLink><br /><searchLink fieldCode="DE" term="%22Brain%22">Brain</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+perception%22">Sensory perception</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+neuroscience%22">Cognitive neuroscience</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Classical theories of sensory processing view the brain as a passive, stimulus-driven device. By contrast, more recent approaches emphasize the constructive nature of perception, viewing it as an active and highly selective process. Indeed, there is ample evidence that the processing of stimuli is controlled by top?down influences that strongly shape the intrinsic dynamics of thalamocortical networks and constantly create predictions about forthcoming sensory events. We discuss recent experiments indicating that such predictions might be embodied in the temporal structure of both stimulus-evoked and ongoing activity, and that synchronous oscillations are particularly important in this process. Coherence among subthreshold membrane potential fluctuations could be exploited to express selective functional relationships during states of expectancy or attention, and these dynamic patterns could allow the grouping and selection of distributed neuronal responses for further processing. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Nature Reviews Neuroscience is the property of Springer Nature 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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/35094565 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 704 Subjects: – SubjectFull: Oscillations Type: general – SubjectFull: Brain Type: general – SubjectFull: Sensory perception Type: general – SubjectFull: Cognitive neuroscience Type: general – SubjectFull: Cognition Type: general Titles: – TitleFull: DYNAMIC PREDICTIONS: OSCILLATIONS AND SYNCHRONY IN TOP?DOWN PROCESSING. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Engel, Andreas K. – PersonEntity: Name: NameFull: Fries, Pascal – PersonEntity: Name: NameFull: Singer, Wolf IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2001 Type: published Y: 2001 Identifiers: – Type: issn-print Value: 1471003X Numbering: – Type: volume Value: 2 – Type: issue Value: 10 Titles: – TitleFull: Nature Reviews Neuroscience Type: main |
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