Alex Huk

Department of Neuroscience and Department of Psychology

Alex Huk's research focuses on visual motion, using it as a model system for investigating how the brain integrates information over space and time. His lab employs a variety of methods, including single-unit and multi-unit electrophysiology, causal perturbations of neural activity, psychophysics, and computational modeling. Recent work has focused on applications of generalized linear models (GLMs) and other single-trial amenable analytic frameworks to dissect the multitude of sensory, cognitive, and motor factors that drive many of the brain areas often studied in primates. Ongoing projects seek to extend applications of these tools to large-scale neurophysiological recordings, as well as more mechanistic studies of individual neurons and small circuits.

Lab website