Neural engineering : computational, representation, and dynamics in neurobiological systems - Eliasmith, Chris; Anderson, C. H. (Charles H.) (New Delhi : Prentice-Hall of India, 2003)
1. Of neurons and engineers -- I. Representation -- 2. Representation in populations of neurons -- 3. Extending population representation -- 4. Temporal representation in spiking neurons -- 5. Population-temporal representation -- II. Transformation -- 6. Feed-forward transformations -- 7. Analyzing representation and transformation -- 8. Dynamic transformations -- 9. Statistical inference and learning -- App. A. Chapter 2 derivations -- App. B. Chapter 4 derivations -- App. C. Chapter 5 derivations -- App. D. Chapter 6 derivations -- App. E. Chapter 7 derivations -- App. F. Chapter 8 derivations.
"A Bradford book."
Includes bibliographical references (p.[335]-350) and index.
CSE, CIS, CS
Keywords: Neural networks (Neurobiology); Neural networks (Computer science); Computational neuroscience