Utilizing the Switching Stochasticity of HfO2/TiOx-Based ReRAM Devices and the Concept of Multiple Device Synapses for the Classification of Overlapping and Noisy Patterns

Utilizing the Switching Stochasticity of HfO2/TiOx-Based ReRAM Devices and the Concept of Multiple Device Synapses for the Classification of Overlapping and Noisy Patterns

With the arrival of the Internet of Things (IoT) and the challenges arising from Big Data, neuromorphic chip concepts are seen as key solutions for coping with the massive amount of unstructured data streams by moving the computation closer to the sensors, the so-called “edge computing.” Augmenting...

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Bibliographic Details
Main Authors: Christopher Bengel, Felix Cüppers, Melika Payvand, Regina Dittmann, Rainer Waser, Susanne Hoffmann-Eifert, Stephan Menzel
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Neuroscience
Subjects:
memristor
ReRAM
synapse
stochastic
signal processing
pattern classification
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.661856/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.661856/full

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