مدل‌های عصبی انعطاف‌پذیری ۲۰۱۲
Neural Models of Plasticity 2012

1. Front Cover

2. Neural Models of Plasticity: Experimental and Theoretical Approaches

3. Copyright Page

4. Table of Contents

5. Contributors

6. Preface

7. Chapter 1. Associative Learning, Memory, and Neuromodulation in Hermissenda

8. Chapter 2. Developmental Assembly of Multiple Components of Learning and Memory in Aplysia

9. Chapter 3. Turtles All the Way Down: Some Molecular Mechanisms Underlying Long-Term Sensitization in Aplysia

10. Chapter 4. Mathematical Model of Cellular and Molecular Processes Contributing to Associative and Nonassociative Learning in Aplysia

11. Chapter 5. A Simple Circuit Model for Higher-Order Features of Classical Conditioning

12. Chapter 6. The Hebb Rule for Synaptic Plasticity: Algorithms and Implementations

13. Chapter 7. Classical Conditioning Phenomena Predicted by a Drive- Reinforcement Model of Neuronal Function

14. Chapter 8. Olfactory Processing and Associative Memory: Cellular and Modeling Studies

15. Chapter 9. Neural Circuit for Classical Conditioning of the Eyelid Closure Response

16. Chapter 10. Long-Term Depression: Possible Cellular Mechanism for Learning Mediated by the Cerebellum

17. Chapter 11. Simulation of a Classically Conditioned Response: A Cerebellar Neural Network Implementation of the Sutton–Barto–Desmond Model

18. Chapter 12. Memory and the Hippocampus

19. Chapter 13. Functions of Neuronal Networks in the Hippocampus and Neocortex in Memory

20. Chapter 14. Long-Term Potentiation in Two Synaptic Systems of the Hippocampal Brain Slice

21. Chapter 15. The Role of Norepinephrine in Long-Term Potentiation at Mossy-Fiber Synapses in the Hippocampus

22. Chapter 16. Some Possible Functions of Simple Cortical Networks Suggested by Computer Modeling

23. Chapter 17. Neural Architecture and Biophysics for Sequence Recognition

24. Chapter 18. Local Synaptic and Electrical Interactions in Hippocampus: Experimental Data and Computer Simulations

25. Chapter 19. Models of Calcium Regulation in Neurons

26. Index