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

Departament d'Enginyeria Electrònica

Producció científica: Contribució a revista › Article › Recerca › Avaluat per experts

5 Cites (Scopus)

1 Descàrregues (Pure)

Resum

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	Anglès
Pàgines (de-a)	1524-1527
Nombre de pàgines	4
Revista	IEEE Electron Device Letters
Volum	45
Número	8
DOIs	https://doi.org/10.1109/LED.2024.3416704
Estat de la publicació	Publicada - d’ag. 2024

Accés al document

10.1109/LED.2024.3416704

https://ddd.uab.cat/record/299290

Altres arxius i enllaços

Enllaç a la publicació de Scopus

Com citar-ho

@article{ee1112b46fd3466497e5c4ded643fe78,

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",

pages = "1524--1527",

journal = "IEEE Electron Device Letters",

issn = "0741-3106",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "8",

}

TY - JOUR

T1 - Noise-Induced Homeostasis in Memristor-Based Neuromorphic Systems

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

Y1 - 2024/8

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

UR - https://www.scopus.com/pages/publications/85196709483

U2 - 10.1109/LED.2024.3416704

DO - 10.1109/LED.2024.3416704

M3 - Article

SN - 0741-3106

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

Resum

Accés al document

Altres arxius i enllaços

Fingerprint

Com citar-ho