Tailoring the synaptic properties of a-IGZO memristors for artificial deep neural networks

Tailoring the synaptic properties of a-IGZO memristors for artificial deep neural networks

Neuromorphic computation based on resistive switching devices represents a relevant hardware alternative for artificial deep neural networks. For the highest accuracies on pattern recognition tasks, an analog, linear, and symmetric synaptic weight is essential. Moreover, the resistive switching devi...

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Bibliographic Details
Main Authors: Maria Elias Pereira, Jonas Deuermeier, Pedro Freitas, Pedro Barquinha, Weidong Zhang, Rodrigo Martins, Elvira Fortunato, Asal Kiazadeh
Format: Article
Language:English
Published: AIP Publishing LLC 2022-01-01
Series:APL Materials
Online Access:http://dx.doi.org/10.1063/5.0073056

Internet

http://dx.doi.org/10.1063/5.0073056

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