Learning to Approximate Functions Using Nb-Doped SrTiO3 Memristors

Learning to Approximate Functions Using Nb-Doped SrTiO3 Memristors

Memristors have attracted interest as neuromorphic computation elements because they show promise in enabling efficient hardware implementations of artificial neurons and synapses. We performed measurements on interface-type memristors to validate their use in neuromorphic hardware. Specifically, we...

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Bibliographic Details
Main Authors:	Thomas F. Tiotto, Anouk S. Goossens, Jelmer P. Borst, Tamalika Banerjee, Niels A. Taatgen
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-02-01
Series:	Frontiers in Neuroscience
Subjects:	neuromorphic computing supervised learning interface memristor Nb-doped SrTiO3 neural networks spiking neural network
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2020.627276/full

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