Learning through ferroelectric domain dynamics in solid-state synapses
Accurate modelling of memristor dynamics is essential for the development of autonomous learning in artificial neural networks. Through a combined theoretical and experimental study of the polarization switching process in ferroelectric memristors, Boynet al. establish a model that enables learning...
Main Authors: | , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2017-04-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/ncomms14736 |