CUE COMPETITION EFFECTS - THEORETICAL IMPLICATIONS FOR ADAPTIVE NETWORK LEARNING-MODELS

A feature-free method for testing adaptive network learning models is presented. The test is based on a property called the mean matching la w, a. property shared by many adaptive network models of learning. As an application of this method, we prove that cue competition effects o btained with statistically independent cues cannot be explained by man y previous adaptive network learning models, including those based on the delta learning rule. These results point to the need to incorporat e competitive learning properties into adaptive network learning model s.