Synchronization phenomena in dual-transistor spiking oscillators realized experimentally towards physical reservoirs

Ludovico Minati, Jim Bartels, Chao Li, Mattia Frasca and Hiroyuki Ito

Chaos, Solitons & Fractals, 2022, vol. 162, issue C

Abstract: Transistor-based chaotic oscillators are known to realize highly diverse dynamics despite having elementary circuit topologies. This work investigates, numerically and experimentally using a ring network, a recently-introduced dual-transistor circuit that generates neural-like spike trains. A multitude of non-trivial effects are observed as a function of the supply voltage and coupling strength, including pattern formation under incomplete synchronization and sensitivity to additional long-distance links. Globally-applied noise exerts a synchronizing effect that interacts with the other control parameters. When the network is partitioned in halves at different levels of granularity, their interplay gives rise to adversarial route-to-synchronization phenomena. These results highlight the generative ability of this circuit and motivate its consideration towards the future realization of physical reservoirs.

Keywords: Chaos generation; Pattern formation; Reservoir computing; Spiking dynamics; Synchronization; Transistor (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:162:y:2022:i:c:s0960077922006257

DOI: 10.1016/j.chaos.2022.112415

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