Chapter 1 How Does a Brain Build a Cognitive Code?

Chapter 2 Some Physiological and Biochemical Consequences of Psychological Postulates

Chapter 3 Classical and Instrumental Learning by Neural Networks

Chapter 4 Pattern Learning by Functional-Differential Neural Networks with Arbitrary Path Weights

Chapter 5 A Neural Theory of Punishment and Avoidance, II: Quantitative Theory

Chapter 6 A Neural Model of Attention, Reinforcement and Discrimination Learning

Chapter 7 Neural Expectation: Cerebellar and Retinal Analogs of Cells Fired by Learnable or Unlearned Pattern Classes

Chapter 8 Contour Enhancement, Short Term Memory, and Constancies in Reverberating Neural Networks

Chapter 9 Biological Competition: Decision Rules, Pattern Formation, and Oscillations

Chapter 10 Competition, Decision, and Consensus

Chapter 12 Adaptive Pattern Classification and Universal Recoding I: Parallel Development and Coding of Neural Feature Detectors

Chapter 13 A Theory of Human Memory: Self-Organization and Performance of Sensory-Motor Codes, Maps, and Plans