Researchers are working to make brain prediction models more explainable, as current models are seen as problematic due to their complexity. This effort is relevant to fields such as drug discovery, where the use of black-box models is a concern. The intersection of neuroscience and machine learning is also being explored, raising questions about the nature of brain function and the role of falsifiability in scientific theory.