Ricardo Pio Monti

The paper introduces an active learning approach to efficiently approximate multiverse analyses in neuroimaging, demonstrating its ability to identify optimal analysis pipelines for predicting participant ages.

This study uses Bayesian optimization to assess how tACS phase differences affect phosphene perception and cognitive effects.

This paper uses neuroadaptive Bayesian optimization to identify cognitive tasks that dissociate ventral and dorsal frontoparietal networks, finding tasks different from those predicted by meta-analysis.