Synchronization of electrical oscillators is a crucial step toward practical implementation of oscillator-based and bio-inspired computing. Here, we report the emergence of an unusual stochastic pattern in coupled spiking Mott nanodevices. Although a moderate capacitive coupling results in a deterministic alternating spiking, increasing the coupling strength leads counterintuitively to stochastic disruptions of the alternating spiking sequence. The disruptions of the deterministic spiking sequence are a direct consequence of the small intrinsic stochasticity in electrical triggering of the insulator–metal transition. Although the stochasticity is subtle in individual nanodevices, it becomes dramatically enhanced just in a single pair of coupled oscillators and, thus, dominates the synchronization. This is different from the stochasticity and multimodal coupling, appearing due to collective effects in large oscillator networks. The stochastic spiking pattern in Mott nanodevices results in a discrete inter-spike interval distribution resembling those in biological neurons. Our results advance the understanding of the emergent synchronization properties in spiking oscillators and provide a platform for hardware-level implementation of probabilistic computing and biologically plausible electronic devices.
Stochasticity in the synchronization of strongly coupled spiking oscillators
Present address: Laboratoire de Physique Théorique et Modélisation, CNRS UMR 8089, CY Cergy Paris Université, 95302 Cergy-Pontoise Cedex, France
Note: This paper is part of the APL Special Collection on Metal Oxide Thin-Film Electronics.
Erbin Qiu, Pavel Salev, Lorenzo Fratino, Rodolfo Rocco, Henry Navarro, Coline Adda, Junjie Li, Min-Han Lee, Yoav Kalcheim, Marcelo Rozenberg, Ivan K. Schuller; Stochasticity in the synchronization of strongly coupled spiking oscillators. Appl. Phys. Lett. 27 February 2023; 122 (9): 094105. https://doi.org/10.1063/5.0129205
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