The aim of this letter is to introduce the permutation min-entropy as an improved symbolic
tool for identifying the existence of hidden temporal correlations in time series. On the one …

Complex systems displaying recurrent spike patterns are ubiquitous in nature.
Understanding the organization of these patterns is a challenging task. Here we study …

We introduce a representation space to contrast chaotic with stochastic dynamics. Following
the complex network representation of a time series through ordinal pattern transitions, we …

Evidence for motor preparation and planning comes from neural activity preceding neural
commands to activate the effectors; such preparatory activity is observed in pallial areas …

We describe a method to infer signatures of determinism and stochasticity in the sequence
of apparently random intensity dropouts emitted by a semiconductor laser with optical …

Neuromorphic photonics is a new paradigm for ultra-fast neuro-inspired optical computing
that can revolutionize information processing and artificial intelligence systems. To …

The use of measures from the Information Theory for complex systems' analysis requires the
estimation of probabilities. In practice, these probabilities need to be derived from finite data …

We study the symbolic dynamics of a stochastic excitable optical system with periodic
forcing. Specifically, we consider a directly modulated semiconductor laser with optical …

Semiconductor lasers with time-delayed optical feedback display a wide range of dynamical
regimes, which have found various practical applications. They also provide excellent …

Permutation entropy (PE) has a growing significance as a relative measure of complexity in
nonlinear systems. It has been applied successfully to measuring complexity in nonlinear …