An Introduction to the Mathematics of Neurons : Modeling in the Frequency Domain

Frank C. Hoppensteadt

ISBN 10: 0521599296 / ISBN 13: 9780521599290

Edité par Cambridge University Press, 1997

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - Describes signal processing aspects of neural networks and their applications. This is an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine and life sciences.

N° de réf. du vendeur 9780521599290

Détails bibliographiques

• Titre: An Introduction to the Mathematics of Neurons : Modeling in the Frequency Domain
• Éditeur: Cambridge University Press
• Date de parution: 1997
• Langue: anglais
• ISBN à 10 chiffres: 0521599296
• ISBN à 13 chiffres: 9780521599290
• Reliure: Taschenbuch
• Édition: 2ème Édition
• État de l'article: Neu

A propos de ce titre

Synopsis

Describes signal processing aspects of neural networks and their applications. This is an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine and life sciences.

Présentation de l'éditeur

This book describes the signal processing aspects of neural networks. It begins with a presentation of the necessary background material in electronic circuits, mathematical modeling and analysis, signal processing, and neurosciences, and then proceeds to applications. These applications include small networks of neurons, such as those used in control of warm-up and flight in moths and control of respiration during exercise in humans. Next, a theory of mnemonic surfaces is developed and studied and material on pattern formation and cellular automata is presented. Finally, large networks are studied, such as the thalamus-reticular complex circuit, believed to be involved in focusing attention, and the development of connections in the visual cortex. Additional material is also provided about nonlinear wave propagation in networks. This book will serve as an excellent text for advanced undergraduates and graduates in the physical sciences, mathematics, engineering, medicine and life sciences.