Using perceptual decision-making to understand the role of selective inhibitory activity in cortical computation
Cortical circuits perform computations to generate appropriate behaviors based upon diverse sensory inputs. These computations are central to an animal maintaining its health and long- term survival. An example of this type of computation are perceptual decision-making tasks where an animal must weigh sensory evidence to choose a behavior which will elicit a reward. The classical circuit models of decision-making focus solely on the effects of recurrent excitation, treating inhibitory neurons as agnostic facilitators of competition between excitatory subpopulations.