Information and communication technologies are increasingly prolific worldwide, exposing the issues and challenges of the assimilation of existing living environments to the shift in technological communication infrastructure. ""Reflexing Interfaces"" discusses the application of complex theories in information and communication technology, with a focus on the interaction between living systems and information technologies. This innovative view provides researcher, scholars, and IT professionals with a fundamental resource on such compelling topics as virtual reality; fuzzy logic systems; and complexity science in artificial intelligence, evolutionary computation, neural networks, and 3-D modeling.

Connections between genes and molecules, neurons and hormones, thinking and language, people and organizations create a continuous flow of synchronized interactions. These intermingled interactions form dynamical networks across many scales, from molecular, to biological, to cognitive and social. In a sequence of cycles, the reader is guided in this heterogeneous hypernetwork to discover the fields and landscapes of Mind Force. Mind, brain, body and society emerge from the same stream through the complexity of nature: the energy of Mind Force and human attractions.

This book presents current material in the study of areas of complex systems research, with a particular focus on mind force studies. Topics discussed include mind force theory hyper-network dynamics in neuroscience; neural resonance; a review into the generalised spectrum of dimensions; circle mapping applied in neural impulse sequence analysis neuron code research; gender-specific strange attractors describe human brain development during childhood, latency, adolescence and young adulthood and epileptiform activity in hippocampal neuronal network triggered by human anti-GAD antibodies.

Neuroscience is the scientific study of the nervous system. Traditionally, neuroscience has been seen as a branch of biology. Nevertheless, it is currently an interdisciplinary science that involves other disciplines such as psychology, computer science, mathematics, physics, philosophy, and medicine. As a result, the scope of neuroscience has broadened to include different approaches used to study the molecular, developmental, structural, functional, evolutionary, computational, and medical aspects of the nervous system. This book discusses and presents research on a number of topics in the field of neuroscience, including mind force theory; neural resonance; circle mapping; the generalised spectrum of dimensions; and epileptiform activity in hippocampal neuronal networks.

The classical Roman poet, Titus Lucretius Carus (c. 99 BC c. 55 BC), described the clinamen, or swerve, as an occurrence that we now call singularity, also popularised as the butterfly effect. His poem, De Rerum Natura (On the Nature of Things), reminds us that an awareness of the intrinsic complexity of natural dynamics has been present for a very long times in human culture (Lucretius, 54BC in 1971; Greenblatt, 2011). It is quite recently, however, that complexity has become a suitable scientific approach. The meta-paradigm of Complexity Science crosses over different disciplines, from physics and mathematics to biology, social sciences, and now psychotherapy. Complexity Science is the scientific toolbox for complex dynamical systems. This definition comprehends a series of sub-disciplines: dissipative systems, cellular automata, fractals, catastrophes, self-organisation, self-organised criticality, chaos theory, fuzzy logic, stochastic resonance, cellular automata, neural networks, genetic algorithms, and others.

This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.

This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.

This book presents new leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.

This book presents new international research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.