Introduction

In the preceding chapter we showed how, in the framework of cable theory, the steady-state depolarization could be found either in a nerve cylinder or a whole neuron composed of soma, dendritic tree, and axon. To achieve that, we had to solve ordinary differential equations with given boundary conditions at terminals and branch points.

The steady-state solutions are of interest when they can be related to experimental results and can provide some relatively quick insights into the effects of various input patterns and various neuronal geometries. In the natural activity of a nerve cell, however, steady-state conditions will never prevail. In order to understand the dynamic behavior of nerve cells, we must therefore examine the time-dependent solutions.

To obtain the time-dependent solutions, we must solve the partial differential equation (4.25), or the dimensionless version (4.59), for the depolarization V(x, t) at position x at time t. The inclusion of the time variable makes obtaining solutions more difficult, though it may be said that if we are using the linear cable model, there is no problem that we cannot, in principle, solve.

We will begin by showing the usefulness of the Green's function method of solution for nerve cylinders. This extends the approach we used in the previous chapter, and the technique can be used for any spatio–temporal input pattern. We will then look at the case of a nerve cylinder with time-dependent current injection at a terminal.