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 "...
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| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2011.
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| Colección: | Studies in Computational Intelligence ;
303. Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b33041659*spi |
Tabla de Contenidos:
- 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.
