Design of complex neuroscience experiments using mixed-integer linear programming (Slivkoff and Gallant, Neuron, 2021)
May 5, 2021
This tutorial and primer reviews how mixed integer linear programming can be used to optimize the design of complex experiments using many different variables. The approach is particularly useful when designing complex fMRI experiments--such as question answering studies--that aim to manipulate and probe many dimensions simultaneously.