Noise-induced homeostasis in memristor-based neuromorphic systems

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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Bibliographische Detailangaben
Hauptverfasser: Salvador Aguilera, Emili, Rodríguez Martínez, Rosana, Miranda, Enrique, Martin Martinez, Javier, Rubio, Antonio, Crespo Yepes, Albert, Ntinas, Vasileios, Sirakoulis, Georgios Ch, Nafría i Maqueda, Montserrat
Format: Artikel
Sprache:eng
Schlagworte:
Homeostasis
Memristor
Resistive switching
RRAM
SPICE
Spike neural networks
Stochastic resonance
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Zusammenfassung: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.