Introduction to Dynamic Modeling of Neuro-Sensory Systems: 1st Edition (Hardback) book cover

Introduction to Dynamic Modeling of Neuro-Sensory Systems

1st Edition

By Robert B. Northrop

CRC Press

488 pages

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pub: 2000-11-27
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Description

Although neural modeling has a long history, most of the texts available on the subject are quite limited in scope, dealing primarily with the simulation of large-scale biological neural networks applicable to describing brain function. Introduction to Dynamic Modeling of Neuro-Sensory Systems presents the mathematical tools and methods that can describe and predict the dynamic behavior of single neurons, small assemblies of neurons devoted to a single tasks, as well as larger sensory arrays and their underlying neuropile.

Focusing on small and medium-sized biological neural networks, the author pays particular attention to visual feature extraction, especially the compound eye visual system and the vertebrate retina. For computational efficiency, the treatment avoids molecular details of neuron function and uses the locus approach for medium-scale modeling of arrays. Rather than requiring readers to learn a dedicated simulation program, the author uses the general, nonlinear ordinary differential equation solver Simnonä for all examples and exercises.

There is both art and science in setting up a computational model that can be validated from existing neurophysiological data. With clear prose, more than 200 figures and photographs, and unique focus, Introduction to Dynamic Modeling of Neuro-Sensory Systems develops the science, nurtures the art, and builds the foundation for more advanced work in neuroscience and the rapidly emerging field of neuroengineering.

Table of Contents

INTRODUCTION TO NEURONS

Introduction

Types of Neurons

Electrical Properties of Nerve Membrane

Synapses: epsps and ipsps

Models for the Nerve Action Potential

Chapter Summary

Problems

SELECTED EXAMPLES OF SENSORY RECEPTORS AND SMALL RECEPTOR ARRAYS

Introduction

The Generalized Receptor

Chemoreceptors

Mechanoreceptors

Magnetoreceptors

Electroreceptors

Gravity Sensors of the Cockroach: Arenivaga sp.

The Dipteran Haltere

The Simple "Eye" of Mytilus

Chapter Summary

Problems

ELECTRONIC MODELS OF NEURONS: A HISTORICAL PERSPECTIVE

Introduction

Necessary Attributes of Small- and Medium-Scale Neural Models

Electronic Neural Models (Neuromimes)

Discussion

SIMULATION OF THE BEHAVIOR OF SMALL ASSEMBLIES OF NEURONS

Introduction Simulation of Synaptic Loci

Dendrites and Local Response Loci

Integral and Relaxation Pulse Frequency Modulation Models for the Spike Generator Locus (SGL)

Theoretical Models for Neural Signal Conditioning

Recurrent Inhibition and Spike Train Pattern Generation

Chapter Summary

Problems

LARGE ARRAYS OF INTERACTING RECEPTORS: THE COMPOUND EYE

Introduction

Anatomy of the Arthropod Compound Eye Visual System

Spatial Resolution of the Compound Eye

Lateral Inhibition in the Eye of Limulus

Feature Extraction by the Compound Eye System

Chapter Summary

Problems

LARGE ARRAYS OF INTERACTING RECEPTORS: THE VERTEBRATE RETINA

Introduction

Review of the Anatomy and Physiology of the Vertebrate Retina

Feature Extraction by the Frog's Retina

Feature Extraction by Other Vertebrate Retinas

Chapter Summary

THEORETICAL MODELS OF INFORMATION PROCESSING AND FEATURE EXTRACTION IN VISUAL SENSORY ARRAYS

Introduction

Models for Neural Spatial Filters and Feature Extraction in Retinas

Models for Neural Matched Filters in Vision

Models for Parallel Processing: Artificial Neural Networks

Chapter Summary

Problems

CHARACTERIZATION OF NEURO-SENSORY SYSTEMS

Review of Characterization and Identification Means for Linear Systems

Parsimonious Models for Neural Connectivity Based on Time Series Analysis of Spike Sequences

Triggered Correlation Applied to the Auditory System

The White Noise Method of Characterizing Nonlinear Systems

Chapter Summary

SOFTWARE FOR SIMULATION OF NEURAL SYSTEMS

Introduction

XNBC v8

Neural Network Simulation Language, or NSL

Neuron

GENESIS

Other Neural Simulation Programs

Neural Modeling with General, Nonlinear System Simulation Software

Conclusion

BIBLIOGRAPHY AND REFERENCES

APPENDICES

INDEX

About the Series

Biomedical Engineering

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MED009000
MEDICAL / Biotechnology
SCI089000
SCIENCE / Life Sciences / Neuroscience