An overview of the central role in cognitive neuroscience of the corpus callosum, the bands of tissue connecting the brain's two hemispheres.

A mechanistic theory of the representation and use of semantic knowledge that uses distributed connectionist networks as a starting point for a psychological theory of semantic cognition.

An integrative overview of network approaches to neuroscience, exploring the origins of brain complexity and the link between brain structure and function “This is where we should be looking for solutions to the great mysteries of life and the mind.” —American Scientist Over the last decade, the study of complex networks has expanded across diverse scientific fields. Increasingly, science is concerned with the structure, behavior, and evolution of complex systems ranging from cells to ecosystems. In Networks of the Brain, Olaf Sporns describes how the integrative nature of brain function can be illuminated from a complex network perspective. Highlighting the many emerging points of contact between neuroscience and network science, the book serves to introduce network theory to neuroscientists and neuroscience to those working on theoretical network models. Sporns emphasizes how networks connect levels of organization in the brain and how they link structure to function, offering an informal and nonmathematical treatment of the subject. Networks of the Brain provides a synthesis of the sciences of complex networks and the brain that will be an essential foundation for future research.

A guide to parallel distributed processing, an emerging paradigm which is transforming the field of cognitive science. It explains and explores the biological basis of PDP, its psychological importance, and its philosophical relevance - particularly to the study of folk-psychology.

Neural Network Parallel Computing is the first book available to the professional market on neural network computing for optimization problems. This introductory book is not only for the novice reader, but for experts in a variety of areas including parallel computing, neural network computing, computer science, communications, graph theory, computer aided design for VLSI circuits, molecular biology, management science, and operations research. The goal of the book is to facilitate an understanding as to the uses of neural network models in real-world applications. Neural Network Parallel Computing presents a major breakthrough in science and a variety of engineering fields. The computational power of neural network computing is demonstrated by solving numerous problems such as N-queen, crossbar switch scheduling, four-coloring and k-colorability, graph planarization and channel routing, RNA secondary structure prediction, knight's tour, spare allocation, sorting and searching, and tiling. Neural Network Parallel Computing is an excellent reference for researchers in all areas covered by the book. Furthermore, the text may be used in a senior or graduate level course on the topic.

“Big questions are Gazzaniga’s stock in trade.” —New York Times “Gazzaniga is one of the most brilliant experimental neuroscientists in the world.” —Tom Wolfe “Gazzaniga stands as a giant among neuroscientists, for both the quality of his research and his ability to communicate it to a general public with infectious enthusiasm.” —Robert Bazell, Chief Science Correspondent, NBC News The author of Human, Michael S. Gazzaniga has been called the “father of cognitive neuroscience.” In his remarkable book, Who’s in Charge?, he makes a powerful and provocative argument that counters the common wisdom that our lives are wholly determined by physical processes we cannot control. His well-reasoned case against the idea that we live in a “determined” world is fascinating and liberating, solidifying his place among the likes of Oliver Sacks, Antonio Damasio, V.S. Ramachandran, and other bestselling science authors exploring the mysteries of the human brain.

Jesus, Moses, Mohammed, Gandhi, and the Buddha all had brains built essentially like anyone else's, yet they were able to harness their thoughts and shape their patterns of thinking in ways that changed history. With new breakthroughs in modern neuroscience and the wisdom of thousands of years of contemplative practice, it is possible for us to shape our own thoughts in a similar way for greater happiness, love, compassion, and wisdom. Buddha's Brain joins the forces of modern neuroscience with ancient contemplative teachings to show readers how they can work toward greater emotional well-being, healthier relationships, more effective actions, and deepened religious and spiritual understanding. This book will explain how the core elements of both psychological well-being and religious or spiritual life-virtue, mindfulness, and wisdom--are based in the core functions of the brain: regulating, learning, and valuing. Readers will also learn practical ways to apply this information, as the book offers many exercises they can do to tap the unused potential of the brain and rewire it over time for greater peace and well-being.

Western thinking is failing because it was not designed to deal with change In this provocative masterpiece of creative thinking, Edward de Bono argues for a game-changing new way to think. For thousands of years we have followed the thinking system designed by the Greek philosophers Socrates, Plato and Aristotle, based on analysis and argument. But if we are to flourish in today’s rapidly changing world we need to free our minds of these ‘boxes’ and embrace a more flexible and nimble model. Parallel Thinking is an invaluable insight into the word of creativity; de Bono unveils unique methods of brainstorming and explains preconceived ideas of what creativity involves and is. This book is not about philosophy; it is about the practical (and parallel) thinking required to get things done in an ever-changing world.

This update of the 1981 classic on neural networks includes new commentaries by the authors that show how the original ideas are related to subsequent developments. As researchers continue to uncover ways of applying the complex information processing abilities of neural networks, they give these models an exciting future which may well involve revolutionary developments in understanding the brain and the mind -- developments that may allow researchers to build adaptive intelligent machines. The original chapters show where the ideas came from and the new commentaries show where they are going.

The text is enriched throughout by close attention to functional aspects of the anatomical observations."--Jacket.