Neuroadaptive Bayesian optimisation can allow integrative design spaces at the individual level in the social and behavioural sciences… and beyond

Abstract

Abstract Almaatouq et al. propose an integrative experiment design space combined with large samples for scientific advancement. We argue recent innovative designs combining closed-loop experiment designs and Bayesian optimisation allow for integrative experiments at an individual level during a single session, circumventing the necessity for large samples. This method can be applied across disciplines, including developmental and clinical research.