Interpretation of the Coherence Function When Using Pseudorandom Inputs to Identify Nonlinear Systems

Use of certain types of pseudorandom input stimuli to identify linear transfer function models of biological or physiological systems can lead to bias errors if the system is nonlinear. Moreover, use of the coherence function to assess the linearity of the system may yield misleading results. Results from a computer simulation are presented, along with example experimental data.