Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning.
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| Title: | Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning. |
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| Authors: | Wright, William J., Hedrick, Nathan G., Komiyama, Takaki |
| Source: | Science. 4/18/2025, Vol. 388 Issue 6744, p322-328. 7p. |
| Subjects: | Neuroplasticity, Motor learning, Motor cortex, Postsynaptic potential, Pyramidal neurons, Hebbian memory |
| Abstract: | Synaptic plasticity underlies learning by modifying specific synaptic inputs to reshape neural activity and behavior. However, the rules governing which synapses will undergo different forms of plasticity in vivo during learning and whether these rules are uniform within individual neurons remain unclear. Using in vivo longitudinal imaging with single-synapse resolution in the mouse motor cortex during motor learning, we found that apical and basal dendrites of layer 2/3 (L2/3) pyramidal neurons showed distinct activity-dependent synaptic plasticity rules. The strengthening of apical and of basal synapses is predicted by local coactivity with nearby synapses and activity coincident with postsynaptic action potentials, respectively. Blocking postsynaptic spiking diminished basal synaptic potentiation without affecting apical plasticity. Thus, individual neurons use multiple activity-dependent plasticity rules in a compartment-specific manner in vivo during learning. Editor's summary: The brain learns from experience through changes in synaptic weights. But how are specific synapses selected to undergo different forms of plasticity during learning? Wright et al. examined synaptic plasticity rules in different dendritic compartments of layer 2/3 pyramidal neurons of the mouse primary motor cortex (see the Perspective by Groisman and Letzkus). Strengthening of apical synapses depended on their correlated activity with their neighboring synapses and was independent of postsynaptic action potentials. By contrast, basal synapse strengthening was driven by activity coincidence with the postsynaptic action potentials, consistent with Hebbian mechanisms of plasticity. These different plasticity rules suggest functional specializations within individual neurons. Apical plasticity drives the formation of functional clusters of learning-related synapses for nonlinear integration, whereas basal plasticity favors the formation of Hebbian ensembles for reliable pattern completion. —Peter Stern [ABSTRACT FROM AUTHOR] |
| Copyright of Science is the property of American Association for the Advancement of Science 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 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 188103796 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wright%2C+William+J%2E%22">Wright, William J.</searchLink><br /><searchLink fieldCode="AR" term="%22Hedrick%2C+Nathan+G%2E%22">Hedrick, Nathan G.</searchLink><br /><searchLink fieldCode="AR" term="%22Komiyama%2C+Takaki%22">Komiyama, Takaki</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Science%22">Science</searchLink>. 4/18/2025, Vol. 388 Issue 6744, p322-328. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Neuroplasticity%22">Neuroplasticity</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+learning%22">Motor learning</searchLink><br /><searchLink fieldCode="DE" term="%22Motor+cortex%22">Motor cortex</searchLink><br /><searchLink fieldCode="DE" term="%22Postsynaptic+potential%22">Postsynaptic potential</searchLink><br /><searchLink fieldCode="DE" term="%22Pyramidal+neurons%22">Pyramidal neurons</searchLink><br /><searchLink fieldCode="DE" term="%22Hebbian+memory%22">Hebbian memory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Synaptic plasticity underlies learning by modifying specific synaptic inputs to reshape neural activity and behavior. However, the rules governing which synapses will undergo different forms of plasticity in vivo during learning and whether these rules are uniform within individual neurons remain unclear. Using in vivo longitudinal imaging with single-synapse resolution in the mouse motor cortex during motor learning, we found that apical and basal dendrites of layer 2/3 (L2/3) pyramidal neurons showed distinct activity-dependent synaptic plasticity rules. The strengthening of apical and of basal synapses is predicted by local coactivity with nearby synapses and activity coincident with postsynaptic action potentials, respectively. Blocking postsynaptic spiking diminished basal synaptic potentiation without affecting apical plasticity. Thus, individual neurons use multiple activity-dependent plasticity rules in a compartment-specific manner in vivo during learning. Editor's summary: The brain learns from experience through changes in synaptic weights. But how are specific synapses selected to undergo different forms of plasticity during learning? Wright et al. examined synaptic plasticity rules in different dendritic compartments of layer 2/3 pyramidal neurons of the mouse primary motor cortex (see the Perspective by Groisman and Letzkus). Strengthening of apical synapses depended on their correlated activity with their neighboring synapses and was independent of postsynaptic action potentials. By contrast, basal synapse strengthening was driven by activity coincidence with the postsynaptic action potentials, consistent with Hebbian mechanisms of plasticity. These different plasticity rules suggest functional specializations within individual neurons. Apical plasticity drives the formation of functional clusters of learning-related synapses for nonlinear integration, whereas basal plasticity favors the formation of Hebbian ensembles for reliable pattern completion. —Peter Stern [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Science is the property of American Association for the Advancement of Science 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: 10.1126/science.ads4706 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 322 Subjects: – SubjectFull: Neuroplasticity Type: general – SubjectFull: Motor learning Type: general – SubjectFull: Motor cortex Type: general – SubjectFull: Postsynaptic potential Type: general – SubjectFull: Pyramidal neurons Type: general – SubjectFull: Hebbian memory Type: general Titles: – TitleFull: Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wright, William J. – PersonEntity: Name: NameFull: Hedrick, Nathan G. – PersonEntity: Name: NameFull: Komiyama, Takaki IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 04 Text: 4/18/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00368075 Numbering: – Type: volume Value: 388 – Type: issue Value: 6744 Titles: – TitleFull: Science Type: main |
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