Decades of research in the vision sciences has revealed pronounced limitations in the amount of information that human beings can perceive, remember, and act upon at any given moment. Nonetheless, human thought and behavior proceeds with relative efficiency and seemingly little effort within dynamic and often highly complex visual environments. Our ability to do this relies on powerful mechanisms that allow potentially important or task-relevant information in the environment to be selectively encoded, remembered, and used in the guidance of behavior. My primary research interests are in characterizing the systems of visual attention and memory underlying this ability, and in exploring how these systems interact with each other and with perceptual and motor systems to give rise to stable, flexible, and adaptive visually-guided behavior. In addition, I am particularly interested in how such systems and the interactions among them are realized by and grounded in the coordinated, time-dependent activity of neural populations. To study these issues, I have adopted a multifaceted approach that uses a combination of behavioral methods, electrophysiological recording (event-related potentials; spectral analysis of the EEG), neural stimulation (transcranial magnetic stimulation), and neural network/dynamical systems modeling. Thus far, I have used these methods to explore the following topics:

• How mechanisms of visual attention and memory work together to guide visual exploration
• The relationship between visual attention and visual working memory
• The development of a neurally plausible, process-based approach to visual working memory and change detection
• The role of neural oscillations in working memory