In this laboratory, we are interested in the neural
processing subsystems that underlie human memory, vision, and
learning. We use computational analyses and models (e.g., neural
network modeling of these subsystems), implementational evidence
(e.g., hemispheric asymmetries in the functioning of these
subsystems), as well as behavioral evidence (e.g., repetition priming
and other learning and memory effects), to constrain theories. The
goal is to understand the architecture of relatively independent
neural subsystems that underlie these abilities and how each of them
may operate differently to accomplish different functions. From this
cognitive neuroscience perspective, we are investigating visual form
recognition, interhemispheric communication, perceptual-motor skill
acquisition, visual working memory, emotional memory, and other
abilities.