The developmental emergence of reliable cortical representations.
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| Title: | The developmental emergence of reliable cortical representations. |
|---|---|
| Authors: | Trägenap, Sigrid (AUTHOR), Whitney, David E. (AUTHOR), Fitzpatrick, David (AUTHOR), Kaschube, Matthias (AUTHOR) |
| Source: | Nature Neuroscience. Feb2025, Vol. 28 Issue 2, p394-405. 12p. |
| Abstract: | The fundamental structure of cortical networks arises early in development before the onset of sensory experience. However, how endogenously generated networks respond to the onset of sensory experience and how they form mature sensory representations with experience remain unclear. In this study, we examined this 'nature–nurture transform' at the single-trial level using chronic in vivo calcium imaging in ferret visual cortex. At eye opening, visual stimulation evokes robust patterns of modular cortical network activity that are highly variable within and across trials, severely limiting stimulus discriminability. These initial stimulus-evoked modular patterns are distinct from spontaneous network activity patterns present before and at the time of eye opening. Within a week of normal visual experience, cortical networks develop low-dimensional, highly reliable stimulus representations that correspond with reorganized patterns of spontaneous activity. Using a computational model, we propose that reliable visual representations derive from the alignment of feedforward and recurrent cortical networks shaped by novel patterns of visually driven activity. Sensory experience transforms endogenously structured cortical networks with diverse and unreliable visual responses into reliable representations. This process is proposed to involve the alignment of feedforward and recurrent networks. [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 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 182844710 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The developmental emergence of reliable cortical representations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Trägenap%2C+Sigrid%22">Trägenap, Sigrid</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Whitney%2C+David+E%2E%22">Whitney, David E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fitzpatrick%2C+David%22">Fitzpatrick, David</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kaschube%2C+Matthias%22">Kaschube, Matthias</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nature+Neuroscience%22">Nature Neuroscience</searchLink>. Feb2025, Vol. 28 Issue 2, p394-405. 12p. – Name: Abstract Label: Abstract Group: Ab Data: The fundamental structure of cortical networks arises early in development before the onset of sensory experience. However, how endogenously generated networks respond to the onset of sensory experience and how they form mature sensory representations with experience remain unclear. In this study, we examined this 'nature–nurture transform' at the single-trial level using chronic in vivo calcium imaging in ferret visual cortex. At eye opening, visual stimulation evokes robust patterns of modular cortical network activity that are highly variable within and across trials, severely limiting stimulus discriminability. These initial stimulus-evoked modular patterns are distinct from spontaneous network activity patterns present before and at the time of eye opening. Within a week of normal visual experience, cortical networks develop low-dimensional, highly reliable stimulus representations that correspond with reorganized patterns of spontaneous activity. Using a computational model, we propose that reliable visual representations derive from the alignment of feedforward and recurrent cortical networks shaped by novel patterns of visually driven activity. Sensory experience transforms endogenously structured cortical networks with diverse and unreliable visual responses into reliable representations. This process is proposed to involve the alignment of feedforward and recurrent networks. [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.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41593-024-01857-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 394 Titles: – TitleFull: The developmental emergence of reliable cortical representations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Trägenap, Sigrid – PersonEntity: Name: NameFull: Whitney, David E. – PersonEntity: Name: NameFull: Fitzpatrick, David – PersonEntity: Name: NameFull: Kaschube, Matthias IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10976256 Numbering: – Type: volume Value: 28 – Type: issue Value: 2 Titles: – TitleFull: Nature Neuroscience Type: main |
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