Mapping the BCPNN Learning Rule to a Memristor Model

The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows mapping to neural and synaptic processes in the human cortexandhas been used extensively in detailed spiking models of cortical associative memory function and recently also for machine learning appl...

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Detalles Bibliográficos
Autores principales: Wang, Deyu, Xu, Jiawei, Stathis, Dimitrios, Zhang, Lianhao, Li, Feng, Lansner, Anders, Hemani, Ahmed, Yang, Yu, Herman, Pawel, Zou, Zhuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695980/
https://www.ncbi.nlm.nih.gov/pubmed/34955716
http://dx.doi.org/10.3389/fnins.2021.750458

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8695980/
https://www.ncbi.nlm.nih.gov/pubmed/34955716
http://dx.doi.org/10.3389/fnins.2021.750458

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