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 …

Timing and dynamics of information in the brain is a hot field in modern neuroscience. The
analysis of the temporal evolution of brain information is crucially important for the …

The role of dopamine in behaviour and decision-making is often cast in terms of
reinforcement learning and optimal decision theory. Here, we present an alternative view …

Ongoing brain activity has been observed since the earliest neurophysiological recordings
and is found over a wide range of temporal and spatial scales. It is characterized by …

In order to classify different human brain states related to visual perception of ambiguous
images, we use an artificial neural network (ANN) to analyze multichannel EEG. The …

Recent results of imaging technologies and non-linear dynamics make possible to relate the
structure and dynamics of functional brain networks to different mental tasks and to build …

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

We propose a theoretical approach associated with an experimental technique to
quantitatively characterize cognitive brain activity in the perception of ambiguous images …

Experimental investigations of neural system functioning and brain activity are standardly
based on the assumption that perceptions, emotions, and cognitive functions can be …

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 …