Current Research

Many impressive capabilities of the brain are not yet understood, for example, how unsupervised learning shapes the brains of animals and humans while controlling closed action-perception loops with the environment, or the virtually unlimited capacity of our long-term memory and its deep connection to spatial navigation. My lab investigates the theoretical principles of learning and perception and their biological bases in the circuit dynamics of the brain. To study these issues we develop computational models of the brain, as well as advanced techniques of data analysis. I am also interested in how the gap between experiment and theory in neuroscience can be overcome. For example, my lab is building and running a resource for sharing neurophysiology data CRCNS.org and involved in various projects on overcoming technical obstacles to data sharing.