Neural and Brain Modeling

Neural and Brain Modeling reviews models used to study neural interactions. The book also discusses 54 computer programs that simulate the dynamics of neurons and neuronal networks to illustrate between unit and systemic levels of nervous system functions. The models of neural and brain operations are composed of three sections: models of generic mechanisms; models of specific neuronal systems; and models of generic operations, networks, and systems. The text discusses the computational problems related to galvanizing a neuronal population though an activity in the multifiber input system. The investigator can use a computer technique to simulate multiple interacting neuronal populations. For example, he can investigate the case of a single local region that contains two populations of neurons: namely, a parent population of excitatory cells, and a second set of inhibitory neurons. Computer simulation models predict the various dynamic activity occurring in the complicated structure and physiology of neuronal systems. Computer models can be used in "top-down" brain/mind research where the systemic, global, and emergent properties of nervous systems are generated. The book is recommended for behavioral scientists, psychiatrists, psychologists, computer programmers, students, and professors in human behavior.

Preface

Part I. Models of the Nervous System: A Review of the Literature

1. Introduction

Generic Mechanisms

2. Single Neurons: Spike Generation

3. Single Neurons: Dendritic Trees

4. Biophysical and Chemical Levels of Control and Intercellular Communication

Models of Specific Neuronal Systems and Networks

5. "Simpler Systems" and Invertebrate Systems

6. Early and Lower-Level Vertebrate Systems

7. Limbic Systems

8. Neocortical and Thalamocortical Systems

Generic Operations, Systems, and Networks

9. Neural Networks

10. Cognitive Operations and Structures

11. Clinical Models

12. Outer Limits

Epilogue

Part II. Computer Simulation of Neuronal Systems

13. Introduction

14. Simplified Models of Single Neurons

15. Synaptic Bombardment in Model Neurons

16. Small Pools of Neurons

17. Junctions of Neuronal Populations

18. Local Networks, Feed-Forward, and Recurrent Connections: Lateral Inhibition and Internally Sustained Activity

19. Systems of Interacting Neuronal Populations

20. Embedding of Memory Traces in Neuronal Junctions and Systems by Hebbian Learning

21. More Accurate Models of Neurons with Dendritic Trees

22. Propagation of Action Potentials in Axons and Axon Termination Fields

23. Systems of Neuronal Populations with Dendritic Trees

24. The Place of Computer Modeling in Neuroscience

Appendix 1. Symbols Used in FORTRAN Programs

Appendix 2. Computer Programs

Appendix 3. Programs for Multiple Embedding of Memory Traces