Stochastic Resonance in HfO₂-Based Memristors: Impact of External Noise on the Binary STDP Protocol

This article deals with the stochastic resonance (SR) phenomenon experimentally observed in HfO2-based memristors. The SR impact on the binary spike time-dependent plasticity (STDP) protocol at the device level was investigated. We demonstrate that the two extreme conductance states of the device that represent the synaptic weights in neuromorphic systems can be better distinguished with the incorporation of Gaussian noise into the bias signal. This technique allows setting the memristor conductance which is directly related to the overlap between the pre- and postsynaptic pulses. The study is reproduced in the LTSPICE simulator using the dynamic memdiode model (DMM) for memristors.

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Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2024-08-09
DOI
https://doi.org/10.1109/ted.2024.3435173
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.63

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article

Stochastic Resonance in HfO₂-Based Memristors: Impact of External Noise on the Binary STDP Protocol

J. Martín-Martínez, Georgios Ch. Sirakoulis, M. Nafrı́a, A. Crespo-Yepes et al.
3 citations
IEEE Transactions on Electron Devices
Advanced Memory and Neural Computing
0.63
article

Stochastic Resonance in HfO₂-Based Memristors: Impact of External Noise on the Binary STDP Protocol

J. Martín-Martínez, Georgios Ch. Sirakoulis, M. Nafrı́a, A. Crespo-Yepes, E. Miranda, R. Rodrı́guez, Antonio Rubio, E. Salvador, Vasileios Ntinas
article en
3 citations

Abstract

This article deals with the stochastic resonance (SR) phenomenon experimentally observed in HfO2-based memristors. The SR impact on the binary spike time-dependent plasticity (STDP) protocol at the device level was investigated. We demonstrate that the two extreme conductance states of the device that represent the synaptic weights in neuromorphic systems can be better distinguished with the incorporation of Gaussian noise into the bias signal. This technique allows setting the memristor conductance which is directly related to the overlap between the pre- and postsynaptic pulses. The study is reproduced in the LTSPICE simulator using the dynamic memdiode model (DMM) for memristors.

IEEE Transactions on Electron DevicesVol. 71(9)
Universitat Autònoma de Barcelona (ES), Democritus University of Thrace (GR), Universitat Politècnica de Catalunya (ES)
Generalitat de Catalunya, Agencia Estatal de Investigación
Affordable and clean energy
Openalex Percentile: Top 32%
Advanced Memory and Neural Computing
0.63
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Stochastic Resonance in HfO₂-Based Memristors: Impact of External Noise on the Binary STDP Protocol — J. Martín-Martínez, Georgios Ch. Sirakoulis, et al. · IEEE Transactions on Electron Devices (2024) | TGRS Research Map | TGRS