Machine generated contents note: Introduction; Part I. Learning: 1. Some basic assumptions; 2. Classical conditioning; 3. Conditioning principles and theories; 4. Reinforcement; 5. Reinforcement applications; 6. Punishment; 7. Theories of reinforcement; Part II. Memory: 8. Memory: an introduction; 9. Sensory and working memory; 01. Long-term memory; 11. Retrieval; 21. Practical applications; Part III. Learning and Memory: 31. Neural networks