Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays

Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays

The brain performs intelligent tasks with extremely low energy consumption. This work takes its inspiration from two strategies used by the brain to achieve this energy efficiency: the absence of separation between computing and memory functions and reliance on low-precision computation. The emergen...

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Bibliographic Details
Main Authors: Tifenn Hirtzlin, Marc Bocquet, Bogdan Penkovsky, Jacques-Olivier Klein, Etienne Nowak, Elisa Vianello, Jean-Michel Portal, Damien Querlioz
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Neuroscience
Subjects:
binarized neural networks
resistive memory
memristor
in-memory computing
biologically plausible digital electronics
ASICs
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01383/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2019.01383/full

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