Stochastic template in cellular nonlinear networks modeling memristor induced synaptic noise
Authors: 
Dimitrios Prousalis, Vasileios Ntinas, Ioannis Messaris, Ahmet Samil Demirkol, Alon Ascoli, Ronald TetzlaffAuthors Info & Claims
Dimitrios Prousalis, Vasileios Ntinas, Ioannis Messaris, Ahmet Samil Demirkol, Alon Ascoli, Ronald TetzlaffAuthors Info & ClaimsArticle No.: 23, Pages 1 - 3
Abstract
Noise is one of the most challenging aspects of cellular nonlinear networks adversely affecting their functionality. Existing techniques to addressing the issues posed by noise are based on well-understood noise removal methods that have reached technical maturity and further have the disadvantage of limited success rates. A deeper understanding and modeling of noise dynamics and its origins are required for the efficient identification and resolution of problems in different network applications. The Stochastic template concept in this article can be beneficial in understanding and modeling noise dynamics in cellular nonlinear networks, which is critical for addressing challenges in network applications. In this paper, memristors functioning as synapses introduce noise into networks, and we conduct an initial investigation of a noisy network performing edge detection.
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- Stochastic template in cellular nonlinear networks modeling memristor induced synaptic noise
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December 2023
222 pages
ISBN:9798400703256
DOI:10.1145/3611315
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Published: 25 January 2024
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- Federal Ministry of Education and Research of Germany
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NANOARCH '23
NANOARCH '23: 18th ACM International Symposium on Nanoscale Architectures
December 18 - 20, 2023
Dresden, Germany
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Overall Acceptance Rate 55 of 87 submissions, 63%
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