Our research is strongly interdisciplinary. It concerns using neural networks and other computational models applied to problems in cognitive science and artificial intelligence, engineering and biology. I have had success using them for such disparate tasks as modeling how children acquire words, studying how lobsters chew, and nonlinear data compression. Most recently I have worked on face and object recognition, visual salience and visual attention, and modeling early visual cortex.