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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Detalles Bibliográficos
Autores principales: Bengel, Christopher, Cüppers, Felix, Payvand, Melika, Dittmann, Regina, Waser, Rainer, Hoffmann-Eifert, Susanne, Menzel, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215350/
https://www.ncbi.nlm.nih.gov/pubmed/34163323
http://dx.doi.org/10.3389/fnins.2021.661856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8215350/
https://www.ncbi.nlm.nih.gov/pubmed/34163323
http://dx.doi.org/10.3389/fnins.2021.661856

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