Deterministic mechanisms of spiking in diffusive memristors. (August 2021)

• Record Type: Journal Article
• Authors: Ushakov, Yury; Akther, Amir; Borisov, Pavel; Pattnaik, Debi; Savel'ev, Sergey; Balanov, Alexander G.
• Is Part Of: Chaos, solitons and fractals. Volume 149(2021)
• Publication Date: 2021-08
• Subjects: Diffusive memristor -- Deterministic dynamics -- Spiking; 00-01 -- 99-00; Chaotic behavior in systems -- Periodicals; Solitons -- Periodicals; Fractals -- Periodicals; Chaotic behavior in systems; Fractals; Solitons; Periodicals; 003.7
• DOI: 10.1016/j.chaos.2021.110997
• Languages: English
• ISSNs: 0960-0779

Abstract

Highlights: Modeling negative differential resistance of memristors. Global bifurcations in a diffusive memristor model. Distinguishing different spiking modes of a diffusive memristor. Analyzing deterministic dynamics to understand effects of noise in a diffusive memristor. Abstract: Diffusive memristors, which have been recently fabricated and measured, attract a significant interest being among the best candidates to mimic neuron activities and to implement novel computing paradigms. Such devices are capable of exhibiting a combination of dynamical, chaotic, and stochastic phenomena needed for efficient neuromorphic computational systems. However, understanding the contribution of deterministic and stochastic dynamics to the functional properties of a diffusive memristor is still an open problem. To study the deterministic mechanisms governing the dynamics of diffusive memristors, we analyze a model of a memristive circuit when the effects of the temperature noise are neglected. We reveal instabilities, which shape the current-voltage characteristic of the device and imply the onset of current self-oscillations. Finally, the results of modeling are compared with experimentally measured current-voltage characteristics.