Experimental Verification of Uncoupled Memristive Cellular Nonlinear Network by Processing the EDGE Detection Task-Reference-Cited by-同舟云学术

Experimental Verification of Uncoupled Memristive Cellular Nonlinear Network by Processing the EDGE Detection Task

Published:2023-12-18 Issue: Volume: Page:1-7
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Container-title:Proceedings of the 18th ACM International Symposium on Nanoscale Architectures
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Author:

Wang Yongmin¹^ORCID,Schnieders Kristoffer²^ORCID,Ntinas Vasileios³^ORCID,Ascoli Alon³^ORCID,Cüppers Felix¹^ORCID,Hoffmann-Eifert Susanne¹^ORCID,Wiefels Stefan²^ORCID,Tetzlaff Ronald³^ORCID,Rana Vikas¹^ORCID,Menzel Stephan²^ORCID

Affiliation:

1. Peter-Grünberg-Institut 10 & JARA FIT, Forschungszentrum Jülich GmbH, Germany

2. Peter-Grünberg-Institut 7 & JARA FIT, Forschungszentrum Jülich GmbH, Germany

3. Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Germany

Funder

Deutsche Forschungsgemeinschaft

Federal Ministry of Education and Research (BMBF, Germany)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3611315.3633274

Reference35 articles.

1. A Deep Study of Resistance Switching Phenomena in TaO _x ReRAM Cells: System‐Theoretic Dynamic Route Map Analysis and Experimental Verification

2. Theoretical Foundations of Memristor Cellular Nonlinear Networks: Stability Analysis With Dynamic Memristors

3. Theoretical Foundations of Memristor Cellular Nonlinear Networks: A DRM2-Based Method to Design Memcomputers With Dynamic Memristors

4. System-Theoretic Methods for Designing Bio-Inspired Mem-Computing Memristor Cellular Nonlinear Networks

5. 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