Rectifying Resistive Memory Devices as Dynamic Complementary Artificial Synapses

Dan Berco1

  • 1School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore.

Frontiers in Neuroscience
|November 9, 2018
PubMed
Summary

Brain-inspired computing utilizes artificial neural networks. New RRAM devices with dynamic switching offer complementary operations, boosting density and reducing complexity for energy-efficient hardware.

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