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Role of noise in spiking dynamics of diffusive memristor driven by heating-cooling cycles

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  • Ushakov, Yury
  • Balanov, Alexander
  • Savel’ev, Sergey

Abstract

Recently fabricated and measured diffusive memristors have attracted a significant interest as one of 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 of contribution and interplay of deterministic and stochastic dynamics to the functional properties of a diffusive memristor is still an open problem. Here, we propose a perturbative approach allowing to separate an influence of noise from regular motion of nanoparticles in diffusive memristors. We demonstrate that noise, coupled with a deterministic degree of freedom in artificial neurons based on diffusive memristors, originates a novel spiking mechanism absent in noiseless systems. The developed formalism suggests an approach towards deterministic modeling of stochastic artificial neurons.

Suggested Citation

  • Ushakov, Yury & Balanov, Alexander & Savel’ev, Sergey, 2021. "Role of noise in spiking dynamics of diffusive memristor driven by heating-cooling cycles," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    • Handle: RePEc:eee:chsofr:v:145:y:2021:i:c:s0960077921001557
    DOI: 10.1016/j.chaos.2021.110803
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    Cited by:

    1. Sang Hyun Sung & Tae Jin Kim & Hyera Shin & Tae Hong Im & Keon Jae Lee, 2022. "Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    2. Ushakov, Yury & Akther, Amir & Borisov, Pavel & Pattnaik, Debi & Savel’ev, Sergey & Balanov, Alexander G., 2021. "Deterministic mechanisms of spiking in diffusive memristors," Chaos, Solitons & Fractals, Elsevier, vol. 149(C).

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