Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks

The architecture design and multi-scale learning principles of the human brain that evolved over hundreds of millions of years are crucial to realizing human-like intelligence. Spiking neural network based Liquid State Machine (LSM) serves as a suitable architecture to study brain-inspired intellige...

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Detalles Bibliográficos
Autores principales: Pan, Wenxuan, Zhao, Feifei, Zeng, Yi, Han, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560283/
https://www.ncbi.nlm.nih.gov/pubmed/37805632
http://dx.doi.org/10.1038/s41598-023-43488-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560283/
https://www.ncbi.nlm.nih.gov/pubmed/37805632
http://dx.doi.org/10.1038/s41598-023-43488-x

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