Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits
Copyright © 2021 Kwan Tung Li et al.
| Publié dans: | Neural plasticity. - 1998. - 2021(2021) vom: 01., Seite 6668175 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2021
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| Accès à la collection: | Neural plasticity |
| Sujets: | Journal Article Research Support, Non-U.S. Gov't |
| Résumé: | Copyright © 2021 Kwan Tung Li et al. Gamma oscillation in neural circuits is believed to associate with effective learning in the brain, while the underlying mechanism is unclear. This paper aims to study how spike-timing-dependent plasticity (STDP), a typical mechanism of learning, with its interaction with gamma oscillation in neural circuits, shapes the network dynamics properties and the network structure formation. We study an excitatory-inhibitory (E-I) integrate-and-fire neuronal network with triplet STDP, heterosynaptic plasticity, and a transmitter-induced plasticity. Our results show that the performance of plasticity is diverse in different synchronization levels. We find that gamma oscillation is beneficial to synaptic potentiation among stimulated neurons by forming a special network structure where the sum of excitatory input synaptic strength is correlated with the sum of inhibitory input synaptic strength. The circuit can maintain E-I balanced input on average, whereas the balance is temporal broken during the learning-induced oscillations. Our study reveals a potential mechanism about the benefits of gamma oscillation on learning in biological neural circuits |
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| Description: | Date Completed 27.10.2021 Date Revised 10.08.2024 published: Electronic-eCollection Citation Status MEDLINE |
| ISSN: | 1687-5443 |
| DOI: | 10.1155/2021/6668175 |