Incorporating structural plasticity into self-organization recurrent networks for sequence learning

Incorporating structural plasticity into self-organization recurrent networks for sequence learning

IntroductionSpiking neural networks (SNNs), inspired by biological neural networks, have received a surge of interest due to its temporal encoding. Biological neural networks are driven by multiple plasticities, including spike timing-dependent plasticity (STDP), structural plasticity, and homeostat...

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Bibliographic Details
Main Authors: Ye Yuan, Yongtong Zhu, Jiaqi Wang, Ruoshi Li, Xin Xu, Tao Fang, Hong Huo, Lihong Wan, Qingdu Li, Na Liu, Shiyan Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural network
self-organization
reward-modulated spike timing-dependent plasticity
homeostatic plasticity
structural plasticity
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1224752/full

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https://www.frontiersin.org/articles/10.3389/fnins.2023.1224752/full

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