Neuro-computational mechanisms of action-outcome learning under moral conflict
L. Fornari, Kalliopi Ioumpa, Alessandra D. Nostro, Nathan J. Evans, Lorenzo De Angelis, Riccardo Paracampo, Selene Gallo, Michael Spezio, Christian Keysers, Valeria Gazzola
The paper investigates action-outcome learning in moral conflicts using reinforcement learning models and fMRI, finding that model-based learning explains choices and reveals neural biases in valuing self-gain versus other-pain.
bioRxiv · Jun 10, 2020 · PreprintNeuroscience