SECTION I: Neural Basis of Cognition -- 1. Applying Neuroanatomical Distinctions to Connectionist Cognitive Modelling -- 2. Pseudopatterns and Dual-Network Memory Models: Advantages and Shortcomings -- 3. A Learning Algorithm for Synfue Chains -- 4. Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humans -- 5. A Simple Model Exhtbiting Scalar Timing -- 6. Modularity and Specialized Learning in the Organization of Behaviour -- 7. Modeling Modulatory Aspects in Association Processes -- 8. Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networks -- 9. A Biologically Plausible Maturation of an ART Network -- SECTION II: Development and Category Learning -- 10. Developing Knowledge about Living Things: A Connectionist Investigation -- 11. Paying Attention to Relevant Dimensions: A Localist Approach -- 12. Coordinating Multiple Sensory Modalities While Learning to Reach -- 13. Modelling Cognitive Development with Constructivist Neural Networks -- 14. Learning Action Affordances and Action Schemas -- 15. A Three-Layer Configural Cue Model ofCategory Learning Rates -- 16. A Revival of Turing's Forgotten Connectionist Ideas: Exploring Unorganized Machines -- 17. Visual Crowding and Category-Specific Deficits: A Neural Network Model -- SECTION III: Implicit Learning -- 18.Implicit Learning of Regularities in Western Tonal Music by Self-Organization -- 19. Rules vs. Statistics in Implicit Learning of Biconditional Grammars -- 20. Hidden Markov Model Interpretations of Neural Networks -- SECTION IV: Models of Social Cognition -- 21. A Connectionist Model of Person Perception and Stereotype Formation -- 22. Learning about an Absent Cause: Discounting and Augmentation of Positively and Independently Related Causes -- SECTION V: Evolution -- 23. Exploring the Baldwin Effect in Evolving Adaptable Control Systems -- 24. Borrowing Dynamies from Evolution: Association using Catalytie Network Models -- 25. Evolving Modular Architectures for Neural Networks -- 26. Evolution, Development and Learning - A Nested Hierarchy? -- SECTION VI: Semantics -- 27. Learning Lexical Properties from Word Usage Patterns: Which Context Words Should be Used? -- 28. Associative Computation and Associative Prediction -- 29. The Development of Small-World Semantie Networks -- 30. What is the Dimensionality of Human Semantie Space? -- Author Index.