Title
Frequency Response Analysis of an Artificial Neural Network Modeling the Lamina Ganglionaris of Musca domestica
Publication Date
2002
Document Type
Article
Abstract
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.
COinS
Comments
K. G. Haines, J. A. Moya and T. P. Caudell, "Frequency response analysis of an artificial neural network modeling the lamina ganglionaris of musca domestica," Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290), Honolulu, HI, USA, 2002, pp. 118-123 vol.1.
doi: 10.1109/IJCNN.2002.1005454