Computational Models for Neuroscience : Human Cortical Information Processing

Hecht-Nielsen, Robert (EDT); McKenna, Thomas (EDT)

ISBN 10: 1447111117 / ISBN 13: 9781447111115

Edité par Springer, 2013

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Détails bibliographiques

• Titre: Computational Models for Neuroscience : Human Cortical Information Processing
• Éditeur: Springer
• Date de parution: 2013
• Langue: anglais
• ISBN à 10 chiffres: 1447111117
• ISBN à 13 chiffres: 9781447111115
• Reliure: Couverture souple
• État de l'article: As New

A propos de ce titre

Synopsis

The cerebral cortex is the area of the brain where almost all of the mental capabilities that distinguish humans from other animals are based. Understanding how it works is vital to the progress in many areas of medicine and science, including the development of more efficient and flexible neural networks. Although extensive research has been carried out over the last 150 years, very little real progress has been made. This book provides a unique overview of work by key researchers, and shows how current research can be used to develop and improve computational models for neural networks.

Présentation de l'éditeur

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 that 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 concept 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 also 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.