Stochastic binary synapses having sigmoidal cumulative distribution functions for unsupervised learning with spike timing-dependent plasticity

Spike timing-dependent plasticity (STDP), which is widely studied as a fundamental synaptic update rule for neuromorphic hardware, requires precise control of continuous weights. From the viewpoint of hardware implementation, a simplified update rule is desirable. Although simplified STDP with stoch...

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Detalles Bibliográficos
Autores principales: Nishi, Yoshifumi, Nomura, Kumiko, Marukame, Takao, Mizushima, Koichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440757/
https://www.ncbi.nlm.nih.gov/pubmed/34521895
http://dx.doi.org/10.1038/s41598-021-97583-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440757/
https://www.ncbi.nlm.nih.gov/pubmed/34521895
http://dx.doi.org/10.1038/s41598-021-97583-y

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