Book contents
- Frontmatter
- Contents
- Preface
- Notational conventions
- Part I Introduction and preliminaries
- Part II Theory
- Part III Applications
- 6 Adaptive behavior in recurrent neural networks with fixed weights
- 7 Adaptive template matching in systems for processing of visual information
- 8 State and parameter estimation of neural oscillators
- Appendix. The Meyer–Kalman–Yakubovich lemma
- References
- Index
8 - State and parameter estimation of neural oscillators
from Part III - Applications
Published online by Cambridge University Press: 03 May 2011
- Frontmatter
- Contents
- Preface
- Notational conventions
- Part I Introduction and preliminaries
- Part II Theory
- Part III Applications
- 6 Adaptive behavior in recurrent neural networks with fixed weights
- 7 Adaptive template matching in systems for processing of visual information
- 8 State and parameter estimation of neural oscillators
- Appendix. The Meyer–Kalman–Yakubovich lemma
- References
- Index
Summary

- Type
- Chapter
- Information
- Adaptation in Dynamical Systems , pp. 350 - 386Publisher: Cambridge University PressPrint publication year: 2011