Statistical and causal inquiry into the neural code

Research by Huk and collaborators investigates how neurons represent aspects of the environment, and how such signals can be used to make inferences about the environment for the purposes of informing decisions and guiding actions. This research involves building statistical models of the neural responses, complemented by causal perturbations of neural activity. Broadly, this is an empirical approach towards understanding the neural code in cortex, i.e., what do action potentials and spike trains mean, given their location in the circuit and within a particular behavioral context?