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

Transistor-based chaotic oscillators are known to realize highly diverse dynamics despite having elementary cir-cuit topologies. This work investigates, numerically and experimentally using a ring network, a recently -intro-duced 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 incom-plete synchronization and sensitivity to additional long-distance links. Globally-applied noise exerts a synchro-nizing 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.(c) 2022 Elsevier Ltd. All rights reserved.