PSYCHOMETRICS AND NEUROMETRICS
This line of research has its roots in the reproducibility crisis that has characterized the psychological and social sciences in recent years. It aims to (1) develop cutting-edge methodological and statistical tools and (2) disseminate the use of more accurate psychometric and statistical models in psychological sciences via active collaborations with national and international research groups. The main techniques adopted to this purpose are: Bayesian inference, Bayesian Informative Hypothesis, Estimation, Computational Models.
CUE-GUIDED DECISION MAKING AND REINFORCEMENT LEARNING
This line of research concerns how daily choices are influenced by environmental cues that signal the presence of potential punishments and rewards, and their adaptive and maladaptive implications (e.g. addiction, impulse-control disorders, anxiety-related conditions). These studies aim to theoretical and methodological advancements in the investigation of reinforcement learning mechanisms and it neurofunctional correlates.