S. Palminteri

This study combines fMRI and reinforcement learning to show that the VMPFC encodes a task-wide confidence signal influenced by valence, distinct from dorsal prefrontal networks.

This study investigates value normalization in human reinforcement learning and finds support for range normalization over divisive normalization.

This study investigates how range adaptation in reinforcement learning leads to suboptimal choices and proposes a model to explain the observed effects.

This study investigates valence effects in reinforcement learning, finding robust Pavlovian-instrumental transfer (PIT) and Pavlovian-to-metacognitive transfer (PMT) effects that persist despite attempts to disrupt them.

This study shows participants are more confident in gain-based decisions than loss-based ones, despite equal difficulty and performance, suggesting a domain-general bias influenced by context-value.

This study investigates reinforcement learning by manipulating outcome valence and magnitude, finding that reference point dependence and range adaptation improve learning but lead to irrational choices in new contexts.