Research in our lab focuses on how the brain turns fleeting sensory inputs into inferences about where and when things occur in the world. We treat visual motion as a model system for investigating how the brain integrates information over space and time, as well as how these neural signals guide intelligent actions in the real world. We also study persistent neural activity as a focused case for understanding how circuits of neurons perform temporal integration on timescales far longer than the capabilities of any single neuron— a key building block of cognition.
Focusing our efforts within this “spatiotemporal integration” framework allows us to study the neural code, in both quantitative detail and with respect to ecologically- and ethologically- realistic conditions, along a well-studied series of brain areas in the primate brain.
The lab employs a variety of methods, including single-unit electrophysiology (with a current emphasis on multiple-neuron / multiple-area simultaneous recordings), imaging, psychophysics, computational modeling, and statistical analysis of large-scale neural recordings and visual scene data. We collaborate extensively, with long-standing projects done in teams co-led by Larry Cormack and Jonathan Pillow.