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HfO2-Based OxRAM Devices as Synapses for Convolutional Neural Networks

2015
In this paper, the use of HfO 2 -based oxide-based resistive memory (OxRAM) devices operated in binary mode to implement synapses in a convolutional neural network (CNN) is studied. We employed an artificial synapse composed of multiple OxRAM cells connected in parallel, thereby providing synaptic efficacies.
Garbin, Daniele   +7 more
openaire   +2 more sources

Mechanism of memristive switching in OxRAM

2019
Stephan Menzel, Rainer Waser
openaire   +1 more source

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