Associative properties of structural plasticity based on firing rate homeostasis in recurrent neuronal networks
Abstract: Correlation-based Hebbian plasticity is thought to shape neuronal connectivity during development and learning, whereas homeostatic plasticity would stabilize network activity. Here we investigate another, new aspect of this dichotomy: Can Hebbian associative properties also emerge as a network effect from a plasticity rule based on homeostatic principles on the neuronal level? To address this question, we simulated a recurrent network of leaky integrate-and-fire neurons, in which excitatory connections are subject to a structural plasticity rule based on firing rate homeostasis. We show that a subgroup of neurons develop stronger within-group connectivity as a consequence of receiving stronger external stimulation. In an experimentally well-documented scenario we show that feature specific connectivity, similar to what has been observed in rodent visual cortex, can emerge from such a plasticity rule. The experience-dependent structural changes triggered by stimulation are long-lasting and decay only slowly when the neurons are exposed again to unspecific external inputs
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Classification
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Biowissenschaften, Biologie
- Keyword
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Hebbsche Lernregel
Neuronale Plastizität
Plastizität
Dichotomie
Konnektionismus
- Event
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Veröffentlichung
- (where)
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Freiburg
- (who)
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Universität
- (when)
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2018
- Creator
- DOI
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10.1038/s41598-018-22077-3
- URN
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urn:nbn:de:bsz:25-freidok-161259
- Rights
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Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:38 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gallinaro, Júlia V.
- Rotter, Stefan
- Universität
Time of origin
- 2018
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