Optimal routing to cerebellum-like structures.
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| Title: | Optimal routing to cerebellum-like structures. |
|---|---|
| Authors: | Muscinelli, Samuel P. (AUTHOR), Wagner, Mark J. (AUTHOR), Litwin-Kumar, Ashok (AUTHOR) |
| Source: | Nature Neuroscience. Sep2023, Vol. 26 Issue 9, p1630-1641. 12p. |
| Abstract: | The vast expansion from mossy fibers to cerebellar granule cells (GrC) produces a neural representation that supports functions including associative and internal model learning. This motif is shared by other cerebellum-like structures and has inspired numerous theoretical models. Less attention has been paid to structures immediately presynaptic to GrC layers, whose architecture can be described as a 'bottleneck' and whose function is not understood. We therefore develop a theory of cerebellum-like structures in conjunction with their afferent pathways that predicts the role of the pontine relay to cerebellum and the glomerular organization of the insect antennal lobe. We highlight a new computational distinction between clustered and distributed neuronal representations that is reflected in the anatomy of these two brain structures. Our theory also reconciles recent observations of correlated GrC activity with theories of nonlinear mixing. More generally, it shows that structured compression followed by random expansion is an efficient architecture for flexible computation. Sensorimotor inputs are first compressed before being routed to the cerebellum and similar brain structures. The authors develop a theory to understand the computational role of this compression, leading to anatomical and functional predictions. [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: 171309883 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimal routing to cerebellum-like structures. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Muscinelli%2C+Samuel+P%2E%22">Muscinelli, Samuel P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wagner%2C+Mark+J%2E%22">Wagner, Mark J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Litwin-Kumar%2C+Ashok%22">Litwin-Kumar, Ashok</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nature+Neuroscience%22">Nature Neuroscience</searchLink>. Sep2023, Vol. 26 Issue 9, p1630-1641. 12p. – Name: Abstract Label: Abstract Group: Ab Data: The vast expansion from mossy fibers to cerebellar granule cells (GrC) produces a neural representation that supports functions including associative and internal model learning. This motif is shared by other cerebellum-like structures and has inspired numerous theoretical models. Less attention has been paid to structures immediately presynaptic to GrC layers, whose architecture can be described as a 'bottleneck' and whose function is not understood. We therefore develop a theory of cerebellum-like structures in conjunction with their afferent pathways that predicts the role of the pontine relay to cerebellum and the glomerular organization of the insect antennal lobe. We highlight a new computational distinction between clustered and distributed neuronal representations that is reflected in the anatomy of these two brain structures. Our theory also reconciles recent observations of correlated GrC activity with theories of nonlinear mixing. More generally, it shows that structured compression followed by random expansion is an efficient architecture for flexible computation. Sensorimotor inputs are first compressed before being routed to the cerebellum and similar brain structures. The authors develop a theory to understand the computational role of this compression, leading to anatomical and functional predictions. [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/s41593-023-01403-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1630 Titles: – TitleFull: Optimal routing to cerebellum-like structures. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Muscinelli, Samuel P. – PersonEntity: Name: NameFull: Wagner, Mark J. – PersonEntity: Name: NameFull: Litwin-Kumar, Ashok IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 10976256 Numbering: – Type: volume Value: 26 – Type: issue Value: 9 Titles: – TitleFull: Nature Neuroscience Type: main |
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