Stochastic models of memristive behavior

Fuente: arXiv
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Autori principali: Gora, P. F., Gudowska-Nowak, Ewa
Natura: Preprint
Pubblicazione: 2023
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author Gora, P. F.
Gudowska-Nowak, Ewa
author_facet Gora, P. F.
Gudowska-Nowak, Ewa
contents Under normal operations, memristive devices undergo variability in time and space and have internal dynamics. Interplay of memory and stochastic signal processing in memristive devices makes them candidates for performing bio-inspired tasks of information transduction and transformation, where intrinsic random behavior can be harnessed for high performance of circuits built up of individual memory storing elements. The paper discusses models of single memristive devices exhibiting both - dynamic hysteresis and Stochastic Resonance, addressing also the cooperative effect of correlated noises acting on the system and occurrence of dirty hysteretic rounding.
format Preprint
id arxiv_https___arxiv_org_abs_2312_15212
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Stochastic models of memristive behavior
Gora, P. F.
Gudowska-Nowak, Ewa
Emerging Technologies
Classical Physics
Under normal operations, memristive devices undergo variability in time and space and have internal dynamics. Interplay of memory and stochastic signal processing in memristive devices makes them candidates for performing bio-inspired tasks of information transduction and transformation, where intrinsic random behavior can be harnessed for high performance of circuits built up of individual memory storing elements. The paper discusses models of single memristive devices exhibiting both - dynamic hysteresis and Stochastic Resonance, addressing also the cooperative effect of correlated noises acting on the system and occurrence of dirty hysteretic rounding.
title Stochastic models of memristive behavior
topic Emerging Technologies
Classical Physics
url https://arxiv.org/abs/2312.15212