| Part 1 | Fourier theory allows us to move between the time and frequency domains, and provides tools for dealing with signals |
| Part 2 | Signals and filtering. Convolution and correlation provide tools and models for filtering signals |
| Part 3 | Linear systems analysis. Linear systems with memory can be analyzed in the time or frequency domains, and using deterministic or random input signals |
| Part 4 | Modeling linear systems. Common models include simple filters, the power law and cable equations |
| Part 5 | Sampling action potentials causes special problems |
| Part 6 | Nonlinear systems analysis. Volterra series, Wiener kernels, Parallel cascades, Laguerre functions |
| Part 7 | Modeling nonlinear systems. Block-structured models. Wiener and Hammerstein systems |
| Part 8 | Further reading |