Network control theory (NCT) is a simple and powerful tool for studying how network
topology informs and constrains the dynamics of a system. Compared to other structure …

We propose a new approach to the neuroscience of consciousness, growing out of the
'enactive'viewpoint in cognitive science. This approach aims to map the neural substrates of …

Neural networks have been widely and deeply studied in the field of computational
neurodynamics. However, coupled neural networks and their brain-like chaotic dynamics …

With the rapid development of artificial intelligence, it has important theoretical and practical
significance to construct neural network models and study their dynamical behaviors. This …

With the growing exploration of brain actions, memristive elements with biomimetic
properties are urgently needed to estimate the activities of biological synapses. Based on …

Transcranial Direct Current Stimulation (tDCS) is investigated for a broad range of
neuropsychiatric indications, various rehabilitation applications, and to modulate cognitive …

The aim of this Book is to give an overview, based on the results of nearly three decades of
intensive research, of transient chaos. One belief that motivates us to write this book is that …

Complex bodily rhythms are ubiquitous in living organisms. These rhythms arise from
stochastic, nonlinear biological mechanisms interacting with a fluctuating environment …

Many neurological and psychiatric diseases are associated with clinically detectable, altered
brain dynamics. The aberrant brain activity, in principle, can be restored through electrical …

Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence
(AI) methods to build comprehensive AI systems. Describes major AI problems (pattern …