Articles liés à Fundamentals of Computational Neuroscience
L'édition de cet ISBN n'est malheureusement plus disponible.
Synopsis
Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Known, but ill-defined as a field, not until the late-20th century has there been knowledge enough to establish computational neuroscience as a scientific discipline in its own right. With this in mind and given the complexity of the topic and its increasing importance in progressing our understanding of how the brain works, there is a need for an introductory text on this complex and (often assumed) impenetrable topic. This work is one of the first introductory books on this topic. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. It covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks.
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Présentation de l'éditeur
Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies. Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. An additional feature is the inclusion of simple Matlab programs that can be used to explore many of the mechanisms explained in the book. An accompanying webpage includes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic.
Biographie de l'auteur
Thomas Trappenberg is Professor in the Faculty of Computer Science at Dalhousie University, Canada.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurOxford University Press Inc
- Date d'édition2002
- ISBN 10 0198515820
- ISBN 13 9780198515821
- ReliureRelié
- Langueanglais
- Nombre de pages354
- Coordonnées du fabricantnon disponible
(Aucun exemplaire disponible)
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