Mathias Pessiglione

This study examines how individuals decide to persist or disengage in sequential effort-based tasks, finding that persistence is influenced by task difficulty, skill, fatigue, progress, goal proximity, and early success.

The paper investigates how the brain encodes value signals for pleasant and unpleasant scenarios, showing distinct neural systems in vmPFC and aIns that guide decision-making.

The paper identifies neurometabolic predictors of mental effort in the frontal cortex using 1H-MRS and machine learning.

The paper shows that irrational decision-making in monkeys may arise from robustness constraints in orbitofrontal circuits, as modeled by artificial neural networks.

This study uses intracerebral stimulation to show that different locations in ventromedial prefrontal cortex and anterior insula have opposing effects on economic choices.

The paper investigates how mood fluctuations, influenced by incidental feedback, affect choice behavior through neural activity in the vmPFC and daIns.

The paper identifies a functional partition in the medial prefrontal cortex, showing vmPFC relates to value and cost, while dmPFC relates to confidence and deliberation across rating and choice tasks.

The paper investigates whether confidence judgments are processed similarly across different cognitive domains using behavioral and neural data from two tasks.

The paper investigates reward and punishment prediction errors in humans using intracerebral recordings, finding distinct brain regions sensitive to each type of error.