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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 "...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Diederich, Joachim (Autor), Gunay, Cengiz (Autor), Hogan, James M. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Studies in Computational Intelligence, 303
Temas:
Acceso en línea:Texto Completo
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.