We consider between-subject variance in brain function as data rather than noise. We
describe variability as a natural output of a noisy plastic system (the brain) where each …

Many biological and neural systems can be seen as networks of interacting periodic
processes. Importantly, their functionality, ie, whether these networks can perform their …

This paper presents a heuristic proof (and simulations of a primordial soup) suggesting that
life—or biological self-organization—is an inevitable and emergent property of any (ergodic) …

Brain–computer interface (BCI) is a promising intelligent healthcare technology to improve
human living quality across the lifespan, which enables assistance of movement and …

The tools of weakly coupled phase oscillator theory have had a profound impact on the
neuroscience community, providing insight into a variety of network behaviours ranging from …

Despite an explosion of research in the affective sciences during the last few decades,
interdisciplinary theories of human emotions are lacking. Here we present a neurobiological …

The balance of global integration and functional specialization is a critical feature of efficient
brain networks, but the relationship of global topology, local node dynamics and information …

Metastability is a key source of itinerant dynamics in the brain; namely, spontaneous
spatiotemporal reorganization of neuronal activity. This itinerancy has been the focus of …

This paper combines recent formulations of self-organization and neuronal processing to
provide an account of cognitive dynamics from basic principles. We start by showing that …

Today, based on brain imaging analyses, we can consider the brilliant metaphor about
event discreteness of the conscious process by William James (1890) to be an experimental …