The spontaneous breaking of time-translation symmetry has led to the discovery of a new
phase of matter: the discrete time crystal. Discrete time crystals exhibit rigid subharmonic …

The search for chaotic patterns has occupied numerous investigators in neuroscience, as in
many other fields of science. Their results and main conclusions are reviewed in the light of …

Time series analysis has proven to be a powerful method to characterize several
phenomena in biology, neuroscience and economics, and to understand some of their …

Metapopulation is the ecological term for assemblages of plant and animal species within
larger areas of space, with long-term survival of the species depending on a shifting balance …

Networks of nonlocally coupled phase oscillators can support chimera states in which
identical oscillators evolve into distinct groups that exhibit coexisting synchronous and …

In this article, we describe the mathematical framework of the computational model at the
core of the tool The Virtual Brain (TVB), designed to simulate collective whole brain …

A comprehensive introduction to new approaches in artificial intelligence and robotics that
are inspired by self-organizing biological processes and structures. New approaches to …

Chaos: from simple models to complex systems aims to guide science and engineering
students through chaos and nonlinear dynamics from classical examples to the most recent …

Rail transit network (RTN) has become the core of urban public transport system. Because
RTN's topological structure has become complicated with its scale, the phenomenon of …

In this paper, we present a fast and robust practical tool for segmentation of solid tumors with
minimal user interaction to assist clinicians and researchers in radiosurgery planning and …