Marcus Grueschow

The paper shows that rapid changes in risk attitudes arise from Bayesian inference on noisy magnitude representations in the parietal cortex, using fMRI and computational modeling.

The paper investigates the neural code for value in the human orbitofrontal cortex and finds that a probabilistic, non-linear population code represents both value and its uncertainty.

This study shows that the left superior frontal sulcus selectively affects perceptual decision-making but not value-based decisions using fMRI, TMS, and computational models.

The paper shows that individual risk aversion in financial decisions stems from noisy perception of numerical magnitudes rather than subjective valuation.

This study challenges the common-currency hypothesis by showing distinct neural representations for moral and financial values in specific brain regions.

The paper shows that increased pupil dilation during emotion regulation predicts better success in both emotion regulation and dietary self-control tasks.

The paper shows that pupil dilation and dmPFC activity predict anticipated effort levels in human decision-making, supporting anticipatory energization as a mechanism for effort-based choices.