S. Palminteri

Neural and computational underpinnings of biased confidence in human reinforcement learning

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.

The functional form of value normalization in human reinforcement learning

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

The construction and deconstruction of sub-optimal preferences through range-adapting reinforcement learning

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

Robust Pavlovian to Instrumental and Pavlovian to Metacognitive Transfers in human reinforcementlearning.

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.

Contextual influence on confidence judgments in human reinforcement learning.

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.

Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences

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.