Cooperative Dynamics of an Artificial Stochastic Resonant System
Yasushi Hotta, Teruo Kanki, Naoki Asakawa, Hitoshi Tabata, Tomoji, Kawai

TL;DR
This paper explores how an artificial stochastic resonant system, composed of neuron-like elements, exhibits noise-driven oscillations and synchronization, revealing potential mechanisms similar to biological central pattern generators.
Contribution
It demonstrates that a ring of neuron-like signal transducers can produce tunable oscillations and synchronization driven solely by noise, highlighting collective dynamics in artificial neural systems.
Findings
Noise induces quasi-periodic oscillations in the ring system.
Synchronization occurs in chains of multiple rings.
Oscillations resemble biological central pattern generator functions.
Abstract
We have investigated cooperative dynamics of an artificial stochastic resonant system, which is a recurrent ring connection of neuron-like signal transducers (NST) based on stochastic resonance (SR), using electronic circuit experiments. The ring showed quasi-periodic, tunable oscillation driven by only noise. An oscillation coherently amplified by noise demonstrated that SR may lead to unusual oscillation features. Furthermore, we found that the ring showed synchronized oscillation in a chain network composed of multiple rings. Our results suggest that basic functions (oscillation and synchronization) that may be used in the central pattern generator of biological system are induced by collective integration of the NST element.
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