A Model of Invariant Object Recognition in the Visual System: Learning Rules, Activation Functions, Lateral Inhibition, and Information-Based Performance Measures

摘要

VisNet2 is a model to investigate some aspects of invariant visual object recognition in the primate visual system. It is a four-layer feed forward network with convergence to each part of a layer from a small region of the preceding layer, with competition between the neurons within a layer and with a trace learning rule to help it learn transform invariance.