Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli.
Saved in:
| Title: | Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli. |
|---|---|
| Authors: | Mazzucato, L. (AUTHOR), La Camera, G. (AUTHOR), Fontanini, A. (AUTHOR) |
| Source: | Nature Neuroscience. May2019, Vol. 22 Issue 5, p787-796. 10p. 2 Charts, 5 Graphs. |
| Abstract: | Sensory stimuli can be recognized more rapidly when they are expected. This phenomenon depends on expectation affecting the cortical processing of sensory information. However, the mechanisms responsible for the effects of expectation on sensory circuits remain elusive. In the present study, we report a novel computational mechanism underlying the expectation-dependent acceleration of coding observed in the gustatory cortex of alert rats. We use a recurrent spiking network model with a clustered architecture capturing essential features of cortical activity, such as its intrinsically generated metastable dynamics. Relying on network theory and computer simulations, we propose that expectation exerts its function by modulating the intrinsically generated dynamics preceding taste delivery. Our model's predictions were confirmed in the experimental data, demonstrating how the modulation of ongoing activity can shape sensory coding. Altogether, these results provide a biologically plausible theory of expectation and ascribe an alternative functional role to intrinsically generated, metastable activity. Sensory stimuli are recognized faster when they are expected. Comparing a spiking network model to cortical recordings from behaving animals, Mazzucato et al. show that expectation accelerates sensory processing by modulating the intrinsically generated activity preceding stimulation. [ABSTRACT FROM AUTHOR] |
| Copyright of Nature 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 | Text: Availability: 0 |
|---|---|
| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 136098609 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mazzucato%2C+L%2E%22">Mazzucato, L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22La+Camera%2C+G%2E%22">La Camera, G.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fontanini%2C+A%2E%22">Fontanini, A.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nature+Neuroscience%22">Nature Neuroscience</searchLink>. May2019, Vol. 22 Issue 5, p787-796. 10p. 2 Charts, 5 Graphs. – Name: Abstract Label: Abstract Group: Ab Data: Sensory stimuli can be recognized more rapidly when they are expected. This phenomenon depends on expectation affecting the cortical processing of sensory information. However, the mechanisms responsible for the effects of expectation on sensory circuits remain elusive. In the present study, we report a novel computational mechanism underlying the expectation-dependent acceleration of coding observed in the gustatory cortex of alert rats. We use a recurrent spiking network model with a clustered architecture capturing essential features of cortical activity, such as its intrinsically generated metastable dynamics. Relying on network theory and computer simulations, we propose that expectation exerts its function by modulating the intrinsically generated dynamics preceding taste delivery. Our model's predictions were confirmed in the experimental data, demonstrating how the modulation of ongoing activity can shape sensory coding. Altogether, these results provide a biologically plausible theory of expectation and ascribe an alternative functional role to intrinsically generated, metastable activity. Sensory stimuli are recognized faster when they are expected. Comparing a spiking network model to cortical recordings from behaving animals, Mazzucato et al. show that expectation accelerates sensory processing by modulating the intrinsically generated activity preceding stimulation. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Nature 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=136098609 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41593-019-0364-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 787 Titles: – TitleFull: Expectation-induced modulation of metastable activity underlies faster coding of sensory stimuli. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mazzucato, L. – PersonEntity: Name: NameFull: La Camera, G. – PersonEntity: Name: NameFull: Fontanini, A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 10976256 Numbering: – Type: volume Value: 22 – Type: issue Value: 5 Titles: – TitleFull: Nature Neuroscience Type: main |
| ResultId | 1 |
