Experimental observation of chimera states in spiking neural networks based on degenerate optical parametric oscillators

• DOI: 10.1038/s42005-023-01240-x
• Publication Date: 2023-05-27T18:01:27Z
• Authors: Tumi Makinwa; Kensuke Inaba; Takahiro Inagaki; Yasuhiro Yamada; Timothée Leleu; Toshimori Honjo; Takuya Ikuta; Koji Enbutsu; Takeshi Umeki; Ryoichi Kasahara; Kazuyuki Aihara; Hiroki Takesue
• Keywords: Physics; QC1-999; FOS: Physical sciences; Astrophysics; 01 natural sciences; Nonlinear Sciences - Adaptation and Self-Organizing Systems; QB460-466; 0103 physical sciences; Adaptation and Self-Organizing Systems (nlin.AO); Physics - Optics; Optics (physics.optics)

AbstractThe phenomenon of partial synchronization has attracted significant interest in the field of nonlinear dynamics, largely due to observations of related phenomena in real-world situations. In particular, the coexistence of synchronized and desynchronized phases, known as a chimera state, has been the subject of intense study. In this work, we experimentally demonstrate that networks of identical photonic spiking neurons based on coupled degenerate optical parametric oscillators can exhibit various chimera states in which, depending on their local synchronization and desynchronization, different kinds of spiking dynamics can develop in a self-organized manner. Even when only a static interaction is implemented, the spiking mode of photonic neurons can be spontaneously and adaptively changed between the Class-I and Class-II modes classified by A. L. Hodgkin. This spontaneous spiking-mode shift induces a significant change in the spiking frequency despite all neurons having the same natural spiking frequency, which encourages the generation of chimera states.