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  • Book
  • © 2011

Recruitment Learning

  • Provides an overview of recruitment learning approaches from a computational perspective

  • State-of-the-Art book

  • Written by leading experts in this field

Part of the book series: Studies in Computational Intelligence (SCI, volume 303)

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-14028-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (9 chapters)

  1. Front Matter

  2. Recruitment in Discrete-time Neural Networks

    1. Front Matter

      Pages 1-1
    2. Recruitment Learning – An Introduction

      • Joachim Diederich, Cengiz Günay, James M. Hogan
      Pages 3-36
    3. One-Shot Learning – Specialization and Generalization

      • Joachim Diederich, Cengiz Günay, James M. Hogan
      Pages 37-56
    4. Connectivity and Candidate Structures

      • Joachim Diederich, Cengiz Günay, James M. Hogan
      Pages 57-81
    5. Representation and Recruitment

      • Joachim Diederich, Cengiz Günay, James M. Hogan
      Pages 83-135
    6. Cognitive Applications

      • Joachim Diederich, Cengiz Günay, James M. Hogan
      Pages 137-179
  3. Recruitment in Continuous-time Neural Networks

    1. Front Matter

      Pages 181-181
    2. Spiking Neural Networks and Temporal Binding

      • Joachim Diederich, Cengiz Günay, James M. Hogan
      Pages 183-198
    3. Synchronized Recruitment in Cortical Hierarchies

      • Joachim Diederich, Cengiz Günay, James M. Hogan
      Pages 199-242
    4. The Stability of Recruited Concepts

      • Joachim Diederich, Cengiz Günay, James M. Hogan
      Pages 243-274
    5. Conclusion

      • Joachim Diederich, Cengiz Günay, James M. Hogan
      Pages 275-281
  4. Back Matter

About this book

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.

Keywords

  • Computational Intelligence
  • Recruitment Learning

Authors and Affiliations

  • School of Information Technology and Electrical Engineering, School of Medicine - Central Clinical Division, The University of Queensland, Brisbane, Australia

    Joachim Diederich

  • Department of Biology, Emory University, Atlanta, U.S.A.

    Cengiz Günay

  • School of Software Engineering and Data Communications, Queensland University of Technology, Brisbane, Australia

    James M. Hogan

Bibliographic Information

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-642-14028-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 179.99
Price excludes VAT (USA)