Prêtable
| Titre : | Emergent neural computational architectures based on neuroscience |
| Titre original: | Architectures de calcul neuronales émergentes basées sur les neurosciences |
| Auteurs : | Stefan Wermter ; Jim Austin ; David Willshaw |
| Type de document : | texte imprimé |
| Editeur : | Berlin [Germany] : Springer-Verlag, 2001 |
| ISBN/ISSN/EAN : | 978-3-540-42363-8 |
| Format : | X-576 p. / ill.; couv. ill. en coul. / 24 cm. |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 006.32 (Réseaux neuronaux (apprentissage relationnel, ordinateurs neuronaux, perceptrons)) |
| Catégories : | |
| Mots-clés: | Computer architecture ; Neural computers ; Neural networks |
| Résumé : |
It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.
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| Note de contenu : |
Sommaire :
Chapitre 1: Modular organisation and robustness Chapitre 2: Timing and synchronisation Chapitre 3: Learning and memory storage |
Exemplaires (1)
| Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|
| F8/297 | Livre | Bibliothèque de la Faculté de Technologie | Salle des livres | Disponible |
