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

INTRODUCTION: Spiking 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 homeost...

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Detalles Bibliográficos
Autores principales: Yuan, Ye, Zhu, Yongtong, Wang, Jiaqi, Li, Ruoshi, Xu, Xin, Fang, Tao, Huo, Hong, Wan, Lihong, Li, Qingdu, Liu, Na, Yang, Shiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427342/
https://www.ncbi.nlm.nih.gov/pubmed/37592946
http://dx.doi.org/10.3389/fnins.2023.1224752

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427342/
https://www.ncbi.nlm.nih.gov/pubmed/37592946
http://dx.doi.org/10.3389/fnins.2023.1224752

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