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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Veröffentlicht in:IEEE electron device letters 2024-08, Vol.45 (8), p.1524-1527
Hauptverfasser: Salvador, E., Rodriguez, R., Miranda, E., Martin-Martinez, J., Rubio, A., Crespo-Yepes, A., Ntinas, V., Sirakoulis, G. Ch. Sirakoulis, Nafria, M.
Format: Artikel
Sprache:eng
Schlagworte:
Homeostasis
Memristor
Memristors
Neuromorphics
Neurons
Noise
Resistive RAM
resistive switching
RRAM
SPICE
spike neural networks
Spiking neural networks
stochastic resonance
Threshold voltage
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Beschreibung
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.
ISSN:0741-3106
1558-0563
DOI:10.1109/LED.2024.3416704