Research

We use behavioral, computational, electrophysiological, neuroimaging, and noninvasive neuromodulation approaches to understand the large-scale causal mechanisms of perception and cognition in the healthy adult brain, and how these mechanisms go awry in normal and pathological aging, and psychiatric illnesses, such as schizophrenia and obsessive-compulsive disorder. We also build novel neuromodulation protocols, grounded in fundamental science, to control components of perception and cognition in healthy individuals and to protect or restore abilities in aging and clinical populations.

Reactive Control

Using electrophysiology and noninvasive neuromodulation, we are probing the mechanisms for how people override habits and routines to make better decisions and learn.

Proactive Control

Using electrophysiology, neuroimaging, machine-learning decoding, and noninvasive neuromodulation, we are working to understand the memory systems that proactively drive attention during the analysis of complex visual scenes.

Computational Memory

Using computational modeling, eye tracking, electrophysiology, and noninvasive neuromodulation, we are trying to uncover the computational processes underlying memory for complex objects and scenes.

Consciousness

Using electrophysiology, neuroimaging, and noninvasive neuromodulation, we are working to characterize the causal neural substrate of visual conscious and non-conscious information processing.

Mental Illness

Using electrophysiology and noninvasive neuromodulation, we are aiming to identify and repair aberrant patterns of neural synchronization underlying components of cognitive dysfunction in mental illnesses such as schizophrenia and obsessive-compulsive disorder.

Aging

Using electrophysiology, neuroimaging, and noninvasive neuromodulation, we are seeking to better understand and restore memory and attentional processes in healthy and pathological aging by synchronizing neural population activity in a rapid and sustainable fashion.