Neural Models of Plasticity :Experimental and Theoretical Approaches

Publication subTitle :Experimental and Theoretical Approaches

Author: Byrne   John H.  

Publisher: Elsevier Science‎

Publication year: 2012

E-ISBN: 9780323149839

P-ISBN(Paperback): 9780121489557

P-ISBN(Hardback):  9780121489557

Subject: B842.3 学习与记忆

Language: ENG

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Description

Neural Models of Plasticity: Experimental and Theoretical Approaches focuses on the use of theoretical and empirical methods in investigating the role of neuronal plasticity in learning, memory, and complex brain functions. It examines the neuromodulation in relation to associative learning and memory, developmental assembly of various components of learning and memory, cellular and molecular processes contributing to associative and non-associative learning, and higher-order features of classical conditioning.
Organized into 19 chapters, this volume begins with an overview of the central pathways mediating conditioning in the marine mollusk Hermissenda and the behavior modified by conditioning, along with the role of neuromodulation in associative learning in this organism. It then proceeds with a discussion of learning and memory in the marine mollusk Aplysia, the Hebb rule for synaptic plasticity, a drive-reinforcement model of neuronal function for predicting classical conditioning phenomena, and the relationship between olfactory processing and associative memory. The reader is also introduced to a neural circuit for classical conditioning of the eyelid closure response, molecular mechanisms and roles of long-term depression in cerebellar function, and functions of neuronal networks in the hippocampus and neocortex in memory. The book concludes with a chapter on models of calcium regulation in neurons.
This book is a valuable resource for neurobiologists, psychol

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 6

Table of Contents

pp.:  6 – 12

Contributors

pp.:  12 – 16

Preface

pp.:  16 – 18

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

pp.:  39 – 63

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

pp.:  63 – 75

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

pp.:  75 – 90

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

pp.:  90 – 111

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

pp.:  111 – 121

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

pp.:  121 – 150

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

pp.:  150 – 179

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

pp.:  179 – 197

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

pp.:  197 – 206

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

pp.:  206 – 227

Chapter 12. Memory and the Hippocampus

pp.:  227 – 259

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

pp.:  259 – 285

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

pp.:  285 – 326

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

pp.:  326 – 348

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

pp.:  348 – 382

Chapter 17. Neural Architecture and Biophysics for Sequence Recognition

pp.:  382 – 397

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

pp.:  397 – 422

Chapter 19. Models of Calcium Regulation in Neurons

pp.:  422 – 442

Index

pp.:  442 – 458

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