210331_v3_paper_0a31123.pdf (2.47 MB)
Download fileDeterministic mechanisms of spiking in diffusive memristors
journal contribution
posted on 13.05.2021, 13:04 authored by Yury UshakovYury Ushakov, Amir Akther, Pavel BorisovPavel Borisov, Debi PattnaikDebi Pattnaik, Sergey SavelievSergey Saveliev, Alexander BalanovAlexander BalanovDiffusive 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.
Funding
Neuromorphic memristive circuits to simulate inhibitory and excitatory dynamics of neuron networks: from physiological similarities to deep learning
Engineering and Physical Sciences Research Council
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