FangTianSim: High-Level Cycle-Accurate Resistive Random-Access Memory-Based Multi-Core Spiking Neural Network Processor Simulator

Realization of spiking neural network (SNN) hardware with high energy efficiency and high integration may provide a promising solution to data processing challenges in future internet of things (IoT) and artificial intelligence (AI). Recently, design of multi-core reconfigurable SNN chip based on re...

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Detalles Bibliográficos
Autores principales: Wei, Jinsong, Wang, Zhibin, Li, Ye, Lu, Jikai, Jiang, Hao, An, Junjie, Li, Yiqi, Gao, Lili, Zhang, Xumeng, Shi, Tuo, Liu, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811373/
https://www.ncbi.nlm.nih.gov/pubmed/35126046
http://dx.doi.org/10.3389/fnins.2021.806325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8811373/
https://www.ncbi.nlm.nih.gov/pubmed/35126046
http://dx.doi.org/10.3389/fnins.2021.806325

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