الفهرس الالي لمكتبة كلية الطب
Détail de l'auteur
Auteur Trappenberg Thomas P.
|
Documents disponibles écrits par cet auteur
Affiner la recherche Interroger des sources externes

| Titre : |
Fundamentals of Computational Neuroscience |
| Type de document : |
texte imprimé |
| Auteurs : |
Trappenberg Thomas P., Auteur |
| Mention d'édition : |
3 édition |
| Editeur : |
London : Oxford University Press |
| Année de publication : |
2022 |
| Importance : |
412p. |
| Présentation : |
ill. en coul. |
| Format : |
25x19cm. |
| ISBN/ISSN/EAN : |
978-0-19-286936-4 |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Neuroscience |
| Index. décimale : |
616.58-116.1 |
| Résumé : |
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
previous editions. 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.
|
| Note de contenu : |
figures;index |
Fundamentals of Computational Neuroscience [texte imprimé] / Trappenberg Thomas P., Auteur . - 3 édition . - [S.l.] : London : Oxford University Press, 2022 . - 412p. : ill. en coul. ; 25x19cm. ISBN : 978-0-19-286936-4 Langues : Anglais ( eng)
| Mots-clés : |
Neuroscience |
| Index. décimale : |
616.58-116.1 |
| Résumé : |
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
previous editions. 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.
|
| Note de contenu : |
figures;index |
|  |
Exemplaires (1)
|
| F.M:15328 | 616.58-116.1 | Ouvrage | Faculté de Médecine | 600 - Technologie (Sciences appliquées) | Exclu du prêt |