An engaging introduction to learning and memory that encourages critical thinking while providing stimulating material on human research and how it can be applied. Examples include behavioral treatments of autism, recovered memory, and improving studying. The text concludes with the remarkable achievements of neural networks and deep learning.
Inhaltsverzeichnis
Part I. Learning: 1. Core Assumptions; 2. Classical Conditioning; 3. Conditioning Principles and Theories; 4. Conditioning Applications; 5 Reinforcement; 6. Reinforcement Applications; 7. Punishment; 8. Theories of Reinforcement; Part II. Memory: 9. Memory: An Introduction; 10. Working Memory; 11. Long-term Memory; 12. Retrieval; 13. Applications; Part III. Neural Foundations: 14. From Neurons to Neural Networks.