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Recruitment Learning
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 "...
| Call Number: | Libro Electrónico |
|---|---|
| Main Authors: | , , |
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2011.
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| Edition: | 1st ed. 2011. |
| Series: | Studies in Computational Intelligence,
303 |
| Subjects: | |
| Online Access: | Texto Completo |
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.