Flexible modulation of sequence generation in the entorhinal–hippocampal system.
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| Title: | Flexible modulation of sequence generation in the entorhinal–hippocampal system. |
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| Authors: | McNamee, Daniel C. (AUTHOR), Stachenfeld, Kimberly L. (AUTHOR), Botvinick, Matthew M. (AUTHOR), Gershman, Samuel J. (AUTHOR) |
| Source: | Nature Neuroscience. Jun2021, Vol. 24 Issue 6, p851-862. 12p. |
| Abstract: | Exploration, consolidation and planning depend on the generation of sequential state representations. However, these algorithms require disparate forms of sampling dynamics for optimal performance. We theorize how the brain should adapt internally generated sequences for particular cognitive functions and propose a neural mechanism by which this may be accomplished within the entorhinal–hippocampal circuit. Specifically, we demonstrate that the systematic modulation along the medial entorhinal cortex dorsoventral axis of grid population input into the hippocampus facilitates a flexible generative process that can interpolate between qualitatively distinct regimes of sequential hippocampal reactivations. By relating the emergent hippocampal activity patterns drawn from our model to empirical data, we explain and reconcile a diversity of recently observed, but apparently unrelated, phenomena such as generative cycling, diffusive hippocampal reactivations and jumping trajectory events. McNamee et al. develop a theory of entorhinal–hippocampal processing. Distributed entorhinal input drives hippocampal activity between distinct statistical and dynamical regimes of activity, thereby unifying several empirical observations. [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: 150638412 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Flexible modulation of sequence generation in the entorhinal–hippocampal system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22McNamee%2C+Daniel+C%2E%22">McNamee, Daniel C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stachenfeld%2C+Kimberly+L%2E%22">Stachenfeld, Kimberly L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Botvinick%2C+Matthew+M%2E%22">Botvinick, Matthew M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gershman%2C+Samuel+J%2E%22">Gershman, Samuel J.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nature+Neuroscience%22">Nature Neuroscience</searchLink>. Jun2021, Vol. 24 Issue 6, p851-862. 12p. – Name: Abstract Label: Abstract Group: Ab Data: Exploration, consolidation and planning depend on the generation of sequential state representations. However, these algorithms require disparate forms of sampling dynamics for optimal performance. We theorize how the brain should adapt internally generated sequences for particular cognitive functions and propose a neural mechanism by which this may be accomplished within the entorhinal–hippocampal circuit. Specifically, we demonstrate that the systematic modulation along the medial entorhinal cortex dorsoventral axis of grid population input into the hippocampus facilitates a flexible generative process that can interpolate between qualitatively distinct regimes of sequential hippocampal reactivations. By relating the emergent hippocampal activity patterns drawn from our model to empirical data, we explain and reconcile a diversity of recently observed, but apparently unrelated, phenomena such as generative cycling, diffusive hippocampal reactivations and jumping trajectory events. McNamee et al. develop a theory of entorhinal–hippocampal processing. Distributed entorhinal input drives hippocampal activity between distinct statistical and dynamical regimes of activity, thereby unifying several empirical observations. [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/s41593-021-00831-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 851 Titles: – TitleFull: Flexible modulation of sequence generation in the entorhinal–hippocampal system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: McNamee, Daniel C. – PersonEntity: Name: NameFull: Stachenfeld, Kimberly L. – PersonEntity: Name: NameFull: Botvinick, Matthew M. – PersonEntity: Name: NameFull: Gershman, Samuel J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 10976256 Numbering: – Type: volume Value: 24 – Type: issue Value: 6 Titles: – TitleFull: Nature Neuroscience Type: main |
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