Journal
CHAOS SOLITONS & FRACTALS
Volume 149, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2021.110997
Keywords
Diffusive memristor; Deterministic dynamics; Spiking
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Funding
- Engineering and Physical Sciences Research Council (EPSRC) [EP/S032843/1]
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Diffusive memristors, considered as one of the best candidates to mimic neuron activities and implement novel computing paradigms, exhibit a combination of dynamical, chaotic, and stochastic phenomena, but understanding the contribution of deterministic and stochastic dynamics to their functional properties remains an open problem.
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. (c) 2021 Elsevier Ltd. All rights reserved.
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