Recruitment Learning (Studies in Computational Intelligence)

Recruitment Learning (Studies in Computational Intelligence)

by JoachimDiederich (Author), Cengiz Gunay (Author), JamesM.Hogan (Author)

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. This 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. This 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.

$187.50

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 250
Edition: 1st Edition.
Publisher: Springer
Published: 14 Oct 2010

ISBN 10: 3642140270
ISBN 13: 9783642140273