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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https://www.frontiersin.org/articles/10.3389/fnins.2020.627276/full

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