Germain Lefebvre

The paper identifies neural signatures of sensory variability in EEG signals and links them to individual differences in metacognitive evaluation.

The paper shows that valence biases factual and counterfactual learning in opposite directions, revealing a confirmation bias in human reinforcement learning.

The paper shows that people update beliefs more strongly with positive outcomes than negative ones in a learning task, linking this to enhanced prediction error signaling in reward circuits.