Reward priming differentially modulates enhancement and inhibition in auditory decision-making
Nagamura, H.; Onishi, H.; Hishitani, M.; Murai, S.; Osako, Y.; Kobayasi, K. I.
Show abstract
In cognitive sciences, rewards, such as money and food, play a fundamental role in individuals daily lives and well-being. Moreover, rewards that are irrelevant to the task alter individuals behavior. However, it is unclear whether explicit knowledge of reward irrelevancy has an impact on reward priming enhancements and inhibition. In this study, an auditory change-detection task with task-irrelevant rewards was introduced. The participants were informed explicitly in advance that the rewards would be given randomly. The results revealed that while inhibition related to reward priming only occurred when the participants were explicitly informed about rewards, implicit instruction thereof resulted in enhancement and inhibition associated with reward priming. These findings highlight the contribution of explicit information about rewards associated with auditory decisions.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Processing Stage Flexibility of the SNARC effect: Task Relevance or Magnitude Relevance? 94%
- New approaches to the Single-Interval Adjustment Matrix (SIAM) Yes-No task 93%
- Let Me Make You Happy, And I'll Tell You How you look around: Using an Approach-Avoidance Task as an Embodied Emotion Prime in a Free-Viewing Task 93%
Similar papers in this journal
Similar papers in this journal
- Multi-scale predictions distinctively modulate tone perception in schizophrenia patients with auditory verbal hallucinations 93%
- Effects of theta transcranial alternating current stimulation (tACS) on exploration and exploitation during uncertain decision-making 91%
- Do congruent lip movements facilitate speech processing in a dynamic audiovisual multi-talker scenario? An ERP study with older and younger adults 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.