Neural computations of ingroup−outgroup subjective value: Toward precise prediction and intervention in intergroup cooperation and conflict

Zhang Hejing et al. from Beijing Normal University proposed the "intergroup reference point model" in Advances in Psychological Science, 2026, Vol. 34, No. 9, employing an angular parameter φ to quantify the ratio of subjective value weights between ingroups and outgroups, thereby achieving continuous and individualized characterization of intergroup bias. The article designed five progressive studies encompassing model validation, parameter construction, fMRI neural mechanisms, cooperation-conflict prediction, and oxytocin modulation, advancing intergroup bias research from brain region localization toward computational modeling and intervention applications.