Time-delayed optoelectronic oscillators are at the center of a large body of scientific
literature. The complex behavior of these nonlinear oscillators has been thoroughly explored …

Photonic delay systems have revolutionized the hardware implementation of Recurrent
Neural Networks and Reservoir Computing in particular. The fundamental principles of …

Abstract Coherent Ising machines (CIMs) constitute a promising approach to solve
computationally hard optimization problems by map** them to ground state searches of …

Time-delayed systems are found to display remarkable temporal patterns the dynamics of
which split into regular and chaotic components repeating at the interval of a delay. This …

Microwave photonic approaches for the generation of microwave signals have attracted
substantial attention in recent years, thanks to the significant advantages brought by …

A “chimera state” is a dynamical pattern that occurs in a network of coupled identical
oscillators when the symmetry of the oscillator population is broken into synchronous and …

Dynamical networks are important models for the behaviour of complex systems, modelling
physical, biological and societal systems, including the brain, food webs, epidemic disease …

The concept of reservoir computing emerged from a specific machine learning paradigm
characterized by a three-layered architecture (input, reservoir, and output), where only the …

Synchronization of coupled oscillators is a fundamental process in both natural and artificial
networks. While much work has investigated the asymptotic stability of the synchronous …

Abstract Machine learning (ML) and neuromorphic computing have been enforcing problem-
solving in many applications. Such approaches found fertile ground in optical …