Noise-induced homeostasis in memristor-based neuromorphic systems

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, controlli...

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Detalhes bibliográficos
Autores: Salvador Aguilera, Emili|||0000-0002-1613-6784, Rodríguez Martínez, Rosana|||0000-0002-4565-6703, Miranda, E.|||0000-0003-0470-5318, Martin Martinez, Javier|||0000-0001-5938-5898, Rubio, Antonio|||0000-0003-1625-1472, Crespo Yepes, Albert|||0000-0003-4618-651X, Ntinas, Vasileios|||0000-0002-2367-5567, Sirakoulis, Georgios Ch|||0000-0001-8240-484X, Nafria, Montserrat|||0000-0002-9549-2890
Formato: artículo
Fecha de publicación:2024
País:España
Recursos:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:299290
Acesso em linha:https://ddd.uab.cat/record/299290
https://dx.doi.org/urn:doi:10.1109/LED.2024.3416704
Access Level:acceso abierto
Palavra-chave:Memristor
RRAM
Resistive switching
Stochastic resonance
Homeostasis
Spike neural networks
SPICE
Descrição
Resumo: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.

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