A brain-inspired algorithm that mitigates catastrophic forgetting of artificial and spiking neural networks with low computational cost

Neuromodulators in the brain act globally at many forms of synaptic plasticity, represented as metaplasticity, which is rarely considered by existing spiking (SNNs) and nonspiking artificial neural networks (ANNs). Here, we report an efficient brain-inspired computing algorithm for SNNs and ANNs, re...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Tielin, Cheng, Xiang, Jia, Shuncheng, Li, Chengyu T, Poo, Mu-ming, Xu, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456855/
https://www.ncbi.nlm.nih.gov/pubmed/37624895
http://dx.doi.org/10.1126/sciadv.adi2947

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10456855/
https://www.ncbi.nlm.nih.gov/pubmed/37624895
http://dx.doi.org/10.1126/sciadv.adi2947

Ejemplares similares