Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Neural Plasticity |
| Online Access: | http://dx.doi.org/10.1155/2021/6668175 |
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| author | Kwan Tung Li Junhao Liang Changsong Zhou |
| author_facet | Kwan Tung Li Junhao Liang Changsong Zhou |
| author_sort | Kwan Tung Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-4020a1e6f72a4eb88433b0f039dc1597 |
| institution | Kabale University |
| issn | 2090-5904 1687-5443 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Neural Plasticity |
| spelling | doaj-art-4020a1e6f72a4eb88433b0f039dc15972025-02-03T01:24:13ZengWileyNeural Plasticity2090-59041687-54432021-01-01202110.1155/2021/66681756668175Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural CircuitsKwan Tung Li0Junhao Liang1Changsong Zhou2Department of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong KongDepartment of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong KongDepartment of Physics, Centre for Nonlinear Studies and Beijing-Hong Kong-Singapore Joint Centre for Nonlinear and Complex Systems (Hong Kong), Institute of Computational and Theoretical Studies, Hong Kong Baptist University, Kowloon Tong, Hong KongGamma 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.http://dx.doi.org/10.1155/2021/6668175 |
| spellingShingle | Kwan Tung Li Junhao Liang Changsong Zhou Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits Neural Plasticity |
| title | Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits |
| title_full | Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits |
| title_fullStr | Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits |
| title_full_unstemmed | Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits |
| title_short | Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits |
| title_sort | gamma oscillations facilitate effective learning in excitatory inhibitory balanced neural circuits |
| url | http://dx.doi.org/10.1155/2021/6668175 |
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