Vladimir G. Ivancevic Knihy

The book delves into the concepts of smooth manifolds, providing both intuitive insights and formal definitions. It explores the foundational aspects of modern geometrical machinery, emphasizing the significance of smooth manifolds in advanced mathematical contexts. Readers will gain a deeper understanding of the structure and properties of these manifolds, which play a crucial role in various fields of mathematics and physics.

Exploring the intersection of quantum computation and neural networks, this book offers both non-technical and technical insights into modern quantum neural computation. It outlines foundational concepts and presents a visionary blueprint for the future of quantum brains, merging advanced computational theories with practical applications in neural processing.

Exploring the intersection of cognitive psychology and computational intelligence, this graduate-level textbook offers a modern dynamical theory of the mind. It delves into chaos theory, examining brain dynamics through human EEG and nonlinear dynamics, while discussing chaos control and synchronization in systems. Additionally, it introduces quantum computational concepts, including Dirac-Feynman dynamics and the role of Josephson junctions. Designed for professionals in various scientific fields, the book includes extensive references and a detailed index for further study.

Exploring the intricacies of human-like biomechanics, this book delves into the principles that govern human movement and how these principles can be applied to robotics and artificial intelligence. It examines the anatomical and physiological aspects of human motion, providing insights into the design of more efficient and adaptable machines. The text combines theoretical frameworks with practical applications, making it a valuable resource for engineers, researchers, and anyone interested in the intersection of biology and technology.

Exploring the complexities of high-dimensional chaos, this book delves into the dynamics of nonlinear systems, emphasizing the need to understand and control life's unpredictability. Building on previous work, it focuses on extreme cases of chaos and attractor systems, revealing their inherent order despite appearances of disorder. Unlike introductory texts that oversimplify chaos, this work aims to equip readers with a deeper understanding of real-world chaotic dynamics, encouraging them to engage with the complexities of life.