ArticleJournal of experimental psychology. General2025
Rewards transiently and automatically enhance sustained attention.
Article in Journal of experimental psychology. General, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- The human cerebellum encodes temporally sensitive reinforcement learning signals.bioRxiv : the preprint server for biology · 2025Article
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Authors and funding
4 authors.
Funding
Abstract
Our ability to maintain a consistent attentional state is essential to many aspects of daily life. Still, despite our best efforts, attention naturally fluctuates between more and less vigilant states. Previous work has shown that offering performance-based rewards or incentives can help to buffer against attentional lapses. However, such work is generally focused on long timescales and, critically, does not dissociate between task-based motivation (i.e., where reward is contingent on attention performance) versus more generic motivation or arousal accounts of reward effects. Here, we investigated the influence of reward feedback on attentional vigilance during a simultaneous sustained attention and reinforcement learning (RL) task. Crucially, rewards were tied only to the RL task rather than to attentional performance. We assessed the impact of two core components of RL-reward and surprise-on short-term fluctuations in attentional vigilance. In two experiments (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.