Computational Models for Neuroscience: Human Cortical Information Processing Издательство: Springer, 2003 г Твердый переплет, 320 стр ISBN 1852335939 инфо 3760n.

Understanding how the human brain represents, stores, and processes information is one of the greatest unsolved mysteries of science today The cerebral cortex is the seat of most of the mental capabilities thаэфэщat distinguish humans from other animals and, once understood, it will almost certainly lead to a better knowledge of other brain nuclei Although neuroscience research has been underway for 150 years, very little progress has been made What is needed is a key conceptблфие that will trigger a full understanding of existing information, and will also help to identify future directions for research This book aims to help identify this key concept Including contributions from leading experts in the field, it provides an overview of different conceptual frameworks that indicate how some pieces of the neuroscience puzzle fit together It offers a representative selection of current ideas, concepts, analyses, calculations and computer experiments, and alsoбсййш looks at important advances such as the application of new modeling methodologies Computational Models for Neuroscience will be essential reading for anyone who needs to keep up-to-date with the latest ideas in computational neuroscience, machine intelligence, and intelligent systems It will also be useful background reading for advanced undergraduates and postgraduates taking courses in neuroscience and psychology Авторы Robert Hecht-Nielsen (автор, редактор) Thomas McKenna (автор, редактор).