Alizée Lopez‐Persem

The paper identifies shared neural networks and bifurcation dynamics across sensory and extra-sensory regions that predict conscious auditory perception regardless of task.

This study identifies prefrontal and cerebellar regions of the default mode network involved in goal-directed remote thinking during a creative task.

This study investigates idea selection during creative thinking and finds that it uses value-based mechanisms similar to economic decision-making, involving brain valuation systems and the dorsal anterior cingulate cortex.

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 shows that the human reward system encodes subjective values of ideas during creative thinking, linking these values to individual preferences and creative abilities.

This study examines EEG power changes during creative problem-solving, finding specific brain activity patterns linked to semantic remoteness and insight moments.

This study shows how individual preferences for ideas influence creative generation speed and quality through computational modeling and behavioral experiments.

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

The paper identifies asymmetric reward-related activity in the orbitofrontal cortex of humans and rhesus macaques and links it to functional connectivity asymmetry.

This study examines inter-individual variability in the sulcal morphology of the human ventromedial prefrontal cortex and its impact on functional organization.