Table of Contents
Associative Neural Memories: Theory and Implementation
Mohamad H. Hassoun, Editor
Oxford University Press, 1993)
PART 1. Biological and Psychological Connections
- Chapter 1. Dynamic Associative Neural Memories.
- M. H. Hassoun
- Chapter 2. Biological Plausibility of Artificial Neural Networks: Learning by Non-Hebbian Synapses.
- D. L. Alkon, K. T. Blackwell, T. P. Vogl , & S. Werness
- Chapter 3. Sparse Distributed Memory and Related Models.
- P. Kanerva
- Chapter 4 The BSB Model: A Simple Non-Linear Autoassociative Neural Network.
- J. Anderson
PART 2. Artificial Associative Neural Memory Models
- Chapter 5. Bidirectional Associative Memories.
- Y-F Wang, J. B. Cruz, and J. H. Mulligan, Jr.
- Chapter 6. High Density Associative Memories.
- A. Dembo
- Chapter 7. A Normal Form Projection Algorithm for Associative Memory.
- B. Baird and F. Eeckman
PART 3. Analysis of Memory Dynamics and Capacity
- Chapter 8. Statistical Neurodynamics of Various Types of Associative Nets.
- S-I Amari and H. F. Yanai
- Chapter 9. Convergence analysis of Associative Memories.
- R. Paturi
- Chapter 10. Nonlinear Dynamics of Analog Associative Memories.
- C. M. Marcus, F. R. Waugh, and R. M. Westervelt
- Chapter 11. Dynamics and Stability Analysis of the Brain-State-in-a-Box BSB Neural Model.
- S. Hui, W. E.Lillo, and S. H. Zak
- Chapter 12. Feature and Memory Selective Error Correction in Neural Associative Memory.
- G. Pancha and S. S. Venkatesh
- Chapter 13. Analysis of Dynamics and Capacity of Associative Memory using a Non-Monotonic Neuron Model.
- S. Yoshizawa, M. Morita, and S-I Amari
- Chapter 14. Fault-tolerance of Optical and Electronic Hebbian-Type Associative Memories.
- P-C Chung and T. F. Krile
PART 4. Implementation
- Chapter 15. Analog Implementation of an Associative Memory: Learning Algorithm and VLSI Constraints.
- M. Verleysen, J-D Legat, and Paul Jespers
- Chapter 16. Recurrent Correlation Associative Memories and Their VLSI Implementation.
- T.-D. Chiueh and R. M. Goodman
- Chapter 17. Design of a Bidirectional Associative Memory Chip.
- A. G. Andreou and K. A. Bohen
- Chapter 18. Optical Implementation of Programmable High-Weight Accuracy Associative Memories.
- Francis T. S. Yu
- Chapter 19. Optical Learning Neurochips for Pattern Recognition, Classification, and Association.
- K. Kyuma, J. Ohta, and Y. Nitta