Frequency response analysis of an artificial neural network modeling the lamina ganglionaris of musca domestica

The following investigated the frequency response of a biologically motivated artificial neural network (ANN). This analysis will reveal nonlinearities present in the ANN, as well as classify the network's filtering characteristics. This work will demonstrate that that photoreceptor processing acts as a nonlinear low pass filter. Discussions will also demonstrate that ALMC processing acts as an inverting nonlinear low pass filter in the frequency domain. These characteristics are similar to their biological counterparts.