Common Ground: Both studies investigate decision-making biases and their neural correlates, focusing on the roles of neuromodulators and pupil size as measures of neural activity.
Key Differences: Current study manipulates decision bias via non-monetary punishments and focuses on the distinction between task-evoked versus baseline neuromodulation. Recommended study explores motivational salience in a probabilistic reversal learning task across rewarding and punishing contexts.
Methodologies: Current study employs pharmacological upregulation, EEG, and pupillometry in a visual detection task. Recommended study uses EEG, pupillometry, and a probabilistic reversal learning task to study post-feedback signals.
Complementary Aspects: Current study emphasizes task-evoked neuromodulation and parietal activity; recommended study highlights motivational salience and difference in signal strength between rewarding and punishing conditions.
Potential Impact: Combining insights could refine understanding of decision-making mechanisms under different motivational contexts and enhance models of reinforcement learning.

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