The NEURON Simulation Environment

1. INTRODUCTION

1.1 The problem domain
1.2 Experimental advances and quantitative modeling

2. OVERVIEW OF NEURON
3. MATHEMATICAL BASIS

3.1 The cable equation
3.2 Spatial discretization in a biological context: sections and segments
3.3 Integration methods

3.3.1 Efficiency

4. THE NEURON SIMULATION ENVIRONMENT

4.1 The hoc interpreter
4.2 A specific example

4.2.1 First step: establish model topology
4.2.2 Second step: assign anatomical and biophysical properties
4.2.3 Third step: attach stimulating electrodes
4.2.4 Fourth step: control simulation time course

4.3 Section variables
4.4 Range variables
4.5 Specifying geometry: stylized vs. 3-D
4.6 Density mechanisms and point processes
4.7 Graphical interface
4.8 Object-oriented syntax

4.8.1 Neurons
4.8.2 Networks

5. SUMMARY
ACKNOWLEDGMENTS
REFERENCES

Digital preprint of
Hines, M.L. and Carnevale, N.T. The NEURON Simulation Environment Neural Computation 9:1179-1209, copyright © 1997 by the Massachusetts Institute of Technology, all rights reserved.
HTML formatting and graphics for page navigation copyright © 1997 by N.T. Carnevale amd M.L. Hines.