Utilizing the Switching Stochasticity of HfO(2)/TiO(x)-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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Detalhes bibliográficos
Publicado no:Front Neurosci
Main Authors: Bengel, Christopher, Cüppers, Felix, Payvand, Melika, Dittmann, Regina, Waser, Rainer, Hoffmann-Eifert, Susanne, Menzel, Stephan
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
Assuntos:
Neuroscience
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8215350/
https://ncbi.nlm.nih.gov/pubmed/34163323
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2021.661856
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