Recruitment Learning

• Main Authors: Diederich, Joachim (Author), Günay, Cengiz (Author), Hogan, James M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Series: Studies in Computational Intelligence, 303
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

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 "...

Table of Contents:

• PART I: Recruitment in Discrete Time Neural Networks
• Recruitment Learning – An Introduction
• One-shot learning - Specialization and Generalization
• Connectivity and Candidate Structures
• Representation and Recruitment
• Cognitive Applications
• PART II: Recruitment in Continuous Time Neural Networks
• Spiking Neural Networks and Temporal Binding
• Synchronised Recruitment in Cortical
• The Stability of Recruited Concepts
• Conclusions.