Modeling in the Neurosciences : From Biological Systems to Neuromimetic Robotics

by Reeke, G. N.

• ISBN13: 9780203390979
• ISBN10: 0203390970
• Edition: 2nd
• Copyright: 1999-02-19
• Publisher: Taylor & Francis

Summary

With contributions from more than 40 experts, Modeling in the Neurosciences, Second Edition is essential for those interested in neuronal modeling and quantitative neuroscience. Focusing on new mathematical and computer models, techniques, and methods, this book represents a cohesive and comprehensive treatment of various aspects of the neurosciences, from the molecular to the network level. It presents many state-of-the-art examples that show how mathematical and computer modeling can contribute to the understanding of mechanisms and systems in the neurosciences. Each chapter also includes suggestions of possible refinements for future modeling in this rapidly changing and expanding field.

Table of Contents

Preface

Contributors

Foreword

Introduction to Modeling in the Neurosciences

Patterns of Genetic Interactions: Analysis of Mrna Levels From Cdna Microarrays

Calcium Signaling in Dendritic Spines

Physiological and Statistical Approaches to Modeling of Synaptic Responses

Natural Variability in the Geometry of Dendritic Branching Patterns

Multicylinder Models For Synaptic and Gap-Junctional Integration

Voltage Transients in Branching Multipolar Neurons With Tapering Dendrites and Sodium Channels

Analytical Solutions of the Frankenhaeuser-Huxley Equations Modified For Dendritic Backpropagation of a Single Sodium Spike

Inverse Problems For Some Cable Models of Dendrites

Equivalent Cables-Analysis and Construction

The Representation of Three-Dimensional Dendritic Structure By a One-Dimensional Model-The Conventional Cable Equation As The First Member of a Hierarchy of Equations

Simulation Analyses of Retinal Cell Responses

Modeling Intracellular Calcium: Diffusion, Dynamics, and Domains

Ephaptic Interactions Between Neurons

Cortical Pyramidal Cells

Semi-Quantitative Theory of Bistable Dendrites With Potential-Dependent Facilitation of Inward Current

Bifurcation Analysis of the Hodgkin-Huxley Equations

Highly Efficient Propagation of Random Impulse Trains Across Unmyelinated Axonal Branch Points: Modifications By Periaxonal K+ Accumulation and Sodium Channel Kinetics

Dendritic Integration in a Two-Neuron Recurrent Excitatory Network Model

Spike-Train Analysis For Neural Systems

The Poetics of Tremor

Principles and Methods in the Analysis of Brain Networks

The Darwin Brain-Based Automata: Synthetic Neural Models and Real-World Devices

Toward Neural Robotics: From Synthetic Models to Neuromimetic Implementations

Bibliography

Index

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