Research areas

• – Computational psychiatry
• – Interpersonal dysfunction
• – Behavioural Control
• – Fear and avoidance learning

Methodological and/or psychotherapeutic expertise

• – Computational psychiatry
• – Interactive paradigms
• – Data analysis
• – Computational modelling

Short biography

PhD. in Computational Neuroscience — Gatsby Unit for Computational Neuroscience, University College London (UCL), UK M.Sc. in Advanced Computing — Imperial College London UK with distinction CoM

Relevant publications

• Mancinelli, F., Nolte, T., Griem, J., Lohrenz, T., Feigenbaum, J., King-Casas, B., & Mathys, C. (2022). A move-by-move paradigm for the computational characterization of attachment style and personality disorder.
• Mancinelli, F., Roiser, J., & Dayan, P. (2021). Internality and the internalisation of failure: Evidence from a novel task. PLoS Computational Biology, 17(7), e1009134. https://doi.org/10.1371/journal.pcbi.1009134