Predicting the brain: the Stanford Digital Brain Project

Nicholas Weiler revisits Dan Yamins’s account of predictive models of the human brain, then interviews Russ Poldrack about the Stanford Digital Brain Project’s new experimental programme. The episode considers how models could test hypotheses and explore potential interventions, and what kinds of brain recordings and behavioural measurements are needed to train them. It combines an earlier Yamins conversation with a new discussion of the project’s data-collection plans.