"Differential Encoding" (COGSCI 2012, 2014) - We use a simple neural network modeling technique (autoencoder PDP models) to to relate long-range lateral connections within visual areas of the brain to spatial frequency processing. We then use this model to account for differences in how the left and right sides of the brain process visual information across numerous behavioral experiments.

Current project: our model predicts that it's more about contour processing, and not necessarily low frequency information, that differs between the hemispheres. We're modeling contrast balancing experiments--where contours are visible, but low frequencies are attenuated--to see if our model can account for these data that other models may not.

Representative posters and talks: