STEPHEN GROSSBERG and ENNIO MINGOLLA

Computer simulations of neural network processes fill an important methodological niche, permitting the investigation of questions not resolvable by physiological, behavioral, or formal approaches alone. Two types of network simulations are considered: simulations of boundary completion and simulations of segmentation. Simulations that compare properties of published models with variations of these models are presented to illustrate how parametric computer simulations have guided the development of neural models of visual perception.