Animals continuously sense and act on the world around them. Even the simplest behaviors emerge from coordinated neuronal computations in distributed brain circuits that transform sensory inputs into motor outputs. Our group investigates how multiregional neural networks and specific cell types interact to implement the computations underlying perception, decision making, and action. We use an integrative approach that combines circuit-level measurements in behaving animals with large-scale neural recordings, precise behavioral assays, advanced data analytics, and computational modeling. Our goal is to build mechanistic models that link neuronal computation to sensorimotor behavior.
