Dynamical modeling of neural systems and brain functions has a history of success over the
last half century. This includes, for example, the explanation and prediction of some features …

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 …

A disturbance in the interactions between distributed cortical regions may underlie the
cognitive and perceptual dysfunction associated with schizophrenia. In this article, nonlinear …

The idea that cognitive activity can be understood using nonlinear dynamics has been
intensively discussed at length for the last 15 years. One of the popular points of view is 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 …

In the last few decades several concepts of dynamical systems theory (DST) have guided
psychologists, cognitive scientists, and neuroscientists to rethink about sensory motor …

The bridge between brain structures as computational devices and the content of mental
processes hinges on the solution of several problems:(i) inference of the cognitive brain …

Dynamical descriptions and modeling of natural systems have generally focused on fixed
points, with saddles and saddle-based phase-space objects such as heteroclinic channels …

Heteroclinic networks are a mathematical concept in dynamic systems theory that is suited to
describe metastable states and switching events in brain dynamics. The framework is …

Discrete sequential information coding is a key mechanism that transforms complex
cognitive brain activity into a low-dimensional dynamical process based on the sequential …