Predicting how actions result in conflicting outcomes for self and others is essential for social
functioning. We tested whether Reinforcement Learning Theory captures how participants …

… These data suggest a neurocomputational mechanism of network-based filtering on the
sources of information, which may give rise to biased learning and the spread of misinformation …

… decision, and how are they implemented by different brain circuits. Such models have proven
useful in domains such as perceptual decision making … We propose a neurocomputational …

… Here we review principles developed within a neurocomputational framework of BG and
related circuitry which provide insights into their functional roles in behavior. We focus on two …

… Not only do such signals enable detailed investigations of the neural implementation of
the decision-making process but they also can expose key elements of the brain's decision …

… behavioral and neurocomputational mechanisms of social influence in goal-directed
learning. More broadly, these results shed light on how neurocomputational approach could be …

… decision making and behavioral flexibility 24,25 . Furthermore, we tested an explicit prediction
based on a neurocomputational … mPFC pathway promotes risky decision making, but only …

… decision-making. However, its impacts on the behavioral and neural processes of females’
unfairness decision-making … the neurocomputational signature of unfairness decision-making …

… a lack of research on the neurocomputational mechanisms of deterministic sequence
learning (ie, learning of patterns in sequences of states), where the decision-maker can infer the …

… We then review some of the growing literature harnessing the DDM to understand the role
of affective processes in decision making. In so doing, we highlight specific ways in which …