Noise-Induced Homeostasis in Memristor-Based Neuromorphic Systems

E. Salvador; R. Rodriguez; E. Miranda; J. Martin-Martinez; A. Rubio; A. Crespo-Yepes; V. Ntinas; G. Ch Sirakoulis; M. Nafria

doi:10.1109/LED.2024.3416704

Noise-Induced Homeostasis in Memristor-Based Neuromorphic Systems

E. Salvador, R. Rodriguez, E. Miranda, J. Martin-Martinez, A. Rubio, A. Crespo-Yepes, V. Ntinas, G. Ch Sirakoulis, M. Nafria

Departamento de Ingeniería Electrónica

Producción científica: Contribución a una revista › Artículo › Investigación › revisión exhaustiva

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Resumen

In this work, it is experimentally demonstrated that noise can be used to emulate the biological homeostatic neuron property in memristor-based neuromorphic systems. The addition of an external noise to the bias allows regulating the memristor performance when used as an artificial neuron, controlling the firing process through the modulation of the memristor threshold voltages. Experimental results have been correctly addressed using the Dynamic Memdiode Model (DMM) for memristors in the framework of SPICE simulation

Idioma original	Inglés
Páginas (desde-hasta)	1524-1527
Número de páginas	4
Publicación	IEEE Electron Device Letters
Volumen	45
N.º	8
DOI	https://doi.org/10.1109/LED.2024.3416704
Estado	Publicada - ago 2024

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title = "Noise-Induced Homeostasis in Memristor-Based Neuromorphic Systems",

abstract = "In this work, it is experimentally demonstrated that noise can be used to emulate the biological homeostatic neuron property in memristor-based neuromorphic systems. The addition of an external noise to the bias allows regulating the memristor performance when used as an artificial neuron, controlling the firing process through the modulation of the memristor threshold voltages. Experimental results have been correctly addressed using the Dynamic Memdiode Model (DMM) for memristors in the framework of SPICE simulation",

keywords = "Memristor, RRAM, SPICE, homeostasis, resistive switching, spike neural networks, stochastic resonance",

author = "E. Salvador and R. Rodriguez and E. Miranda and J. Martin-Martinez and A. Rubio and A. Crespo-Yepes and V. Ntinas and Sirakoulis, {G. Ch} and M. Nafria",

note = "Publisher Copyright: {\textcopyright} 2024 The Authors.",

year = "2024",

month = aug,

doi = "10.1109/LED.2024.3416704",

language = "English",

volume = "45",

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AU - Salvador, E.

AU - Rodriguez, R.

AU - Miranda, E.

AU - Martin-Martinez, J.

AU - Rubio, A.

AU - Crespo-Yepes, A.

AU - Ntinas, V.

AU - Sirakoulis, G. Ch

AU - Nafria, M.

PY - 2024/8

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N2 - In this work, it is experimentally demonstrated that noise can be used to emulate the biological homeostatic neuron property in memristor-based neuromorphic systems. The addition of an external noise to the bias allows regulating the memristor performance when used as an artificial neuron, controlling the firing process through the modulation of the memristor threshold voltages. Experimental results have been correctly addressed using the Dynamic Memdiode Model (DMM) for memristors in the framework of SPICE simulation

AB - In this work, it is experimentally demonstrated that noise can be used to emulate the biological homeostatic neuron property in memristor-based neuromorphic systems. The addition of an external noise to the bias allows regulating the memristor performance when used as an artificial neuron, controlling the firing process through the modulation of the memristor threshold voltages. Experimental results have been correctly addressed using the Dynamic Memdiode Model (DMM) for memristors in the framework of SPICE simulation

KW - Memristor

KW - RRAM

KW - SPICE

KW - homeostasis

KW - resistive switching

KW - spike neural networks

KW - stochastic resonance

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DO - 10.1109/LED.2024.3416704

M3 - Article

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VL - 45

SP - 1524

EP - 1527

JO - IEEE Electron Device Letters

JF - IEEE Electron Device Letters

IS - 8

ER -

Noise-Induced Homeostasis in Memristor-Based Neuromorphic Systems

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