Recruitment Learning - Couverture souple

Diederich, Joachim; Gunay, Cengiz; Hogan, James M.

Couverture souple

ISBN 10 : 3642265472 ISBN 13 : 9783642265471

Editeur : Springer, 2012

Synopsis

This book presents a fascinating and self-contained account of "recruitment learning", a model and theory of fast learning in the neocortex. In contrast to the more common attractor network paradigm for long- and short-term memory, recruitment learning focuses on one-shot learning or "chunking" of arbitrary feature conjunctions that co-occur in single presentations. The book starts with a comprehensive review of the historic background of recruitment learning, putting special emphasis on the ground-breaking work of D.O. Hebb, W.A.Wickelgren, J.A.Feldman, L.G.Valiant, and L. Shastri. Afterwards a thorough mathematical analysis of the model is presented which shows that recruitment is indeed a plausible mechanism of memory formation in the neocortex. A third part extends the main concepts towards state-of-the-art spiking neuron models and dynamic synchronization as a tentative solution of the binding problem. The book further discusses the possible role of adult neurogenesis for recruitment. These recent developments put the theory of recruitment learning at the forefront of research on biologically inspired memory models and make the book an important and timely contribution to the field.

A propos du livre

Présentation de l'éditeur

Recruitment learning facilitates the acquisition of new knowledge to build and extend knowledge bases and ontologies as an artificial intelligence technique. This book provides an overview of recruitment learning approaches from a computational perspective.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2012
• Langue: anglais
• ISBN 10: 3642265472
• ISBN 13: 9783642265471
• Reliure: Broché
• Nombre de pages: 324
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne