Overview
- Authors:
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Joachim Diederich
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School of Information Technology and Electrical Engineering, School of Medicine - Central Clinical Division, The University of Queensland, Brisbane, Australia
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Cengiz Günay
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Department of Biology, Emory University, Atlanta, U.S.A.
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James M. Hogan
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School of Software Engineering and Data Communications, Queensland University of Technology, Brisbane, Australia
- Provides an overview of recruitment learning approaches from a computational perspective
- State-of-the-Art book
- Written by leading experts in this field
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Table of contents (9 chapters)
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Recruitment in Discrete-time Neural Networks
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- Joachim Diederich, Cengiz Günay, James M. Hogan
Pages 3-36
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- Joachim Diederich, Cengiz Günay, James M. Hogan
Pages 37-56
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- Joachim Diederich, Cengiz Günay, James M. Hogan
Pages 57-81
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- Joachim Diederich, Cengiz Günay, James M. Hogan
Pages 83-135
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- Joachim Diederich, Cengiz Günay, James M. Hogan
Pages 137-179
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Recruitment in Continuous-time Neural Networks
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Front Matter
Pages 181-181
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- Joachim Diederich, Cengiz Günay, James M. Hogan
Pages 183-198
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- Joachim Diederich, Cengiz Günay, James M. Hogan
Pages 199-242
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- Joachim Diederich, Cengiz Günay, James M. Hogan
Pages 243-274
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- Joachim Diederich, Cengiz Günay, James M. Hogan
Pages 275-281
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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.
Authors and Affiliations
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School of Information Technology and Electrical Engineering, School of Medicine - Central Clinical Division, The University of Queensland, Brisbane, Australia
Joachim Diederich
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Department of Biology, Emory University, Atlanta, U.S.A.
Cengiz Günay
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School of Software Engineering and Data Communications, Queensland University of Technology, Brisbane, Australia
James M. Hogan