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.

Contenu

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 (MLSYS41, LDS4541, DSPLAY2, CMPTP1)
    Index