Correlative Learning by Jos Eggermont
Correlative Learning: A Basis for Brain and Adaptive Systems provides a bridge between three disciplines: computational neuroscience, neural networks, and signal processing. First, the authors lay down the preliminary neuroscience background for engineers. The book also presents an overview of the role of correlation in the human brain as well as in the adaptive signal processing world; unifies many well-established synaptic adaptations (learning) rules within the correlation-based learning framework, focusing on a particular correlative learning paradigm, ALOPEX; and presents case studies that illustrate how to use different computational tools and ALOPEX to help readers understand certain brain functions or fit specific engineering applications.-
Complex Valued Nonlinear Adaptive Filters
-
MATLAB Supplement to Fuzzy and Neural Approaches in Engineering
-
Independent Component Analysis
-
Handbook on Array Processing and Sensor Networks
-
Space-Time Layered Information Processing for Wireless Communications
-
Least-Mean-Square Adaptive Filters
-
Recurrent Neural Networks for Prediction
-
Stable Adaptive Control and Estimation for Nonlinear Systems
-
Adaptive Control of Systems with Actuator and Sensor Nonlinearities
-
Kalman Filtering and Neural Networks
-
Unsupervised Adaptive Filtering, Blind Deconvolution
-
Radio Resource Management in Multi-Tier Cellular Wireless Networks
-
Regularized Radial Basis Function Networks
-
Nonlinear Dynamical Systems
-
Robust Systems Theory and Applications
-
Principal Component Neural Networks
-
Acoustic Echo and Noise Control
-
Data-Variant Kernel Analysis
-
The Roots of Backpropagation
-
Adaptive Control Design and Analysis
-
Intelligent Image Processing
-
Fuzzy And Neural Approaches in Engineering
-
Nonlinear and Adaptive Control Design
-
Kernel Adaptive Filtering
-
Adaptive Signal Processing
-
Statistical Learning Theory
Zhe Chen, PhD, is currently a Research Fellow in the Neuroscience Statistics Research Laboratory at Harvard Medical School.
Simon Haykin, PhD, DSc, is a Distinguished University Professor in the Department of Electrical and Computer Engineering at McMaster University, Ontario, Canada.
Jos J. Eggermont, PhD, is a Professor in the Departments of Physiology & Biophysics and Psychology at the University of Calgary, Alberta, Canada.
Suzanna Becker, PhD, is a Professor in the Department of Psychology, Neuroscience, and Behavior at McMaster University, Ontario, Canada.
| SKU | Unavailable |
| ISBN 13 | 9780470044889 |
| ISBN 10 | 0470044888 |
| Title | Correlative Learning |
| Author | Jos Eggermont |
| Series | Adaptive And Cognitive Dynamic Systems: Signal Processing Learning Communications And Control |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | John Wiley & Sons Inc |
| Year published | 2007-11-06 |
| Number of pages | 480 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |