ArticleScientific reports2019
Spontaneous eye blink rate predicts individual differences in exploration and exploitation during reinforcement learning.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Attentional modulation of sensory gating during a visuomotor task.The journal of physiological sciences : JPS · 2026Article
- Creativity and REsilience Through Arts, Technology and Emotions: A Pilot Study on the Feasibility and Validity of the CREATE Platform.Brain sciences · 2025Article
- A quarter century of research on infant contingency learning: Current and future directions.Infant behavior & development · 2025Review
- Eye movements during the Iowa Gambling Task in Parkinson's disease: a brief report.Frontiers in psychology · 2025Article
- Spontaneous eye blinks in horses (Equus caballus) are modulated by attention.Scientific reports · 2024Article
- Article
- The effects of paranoia and dopamine on perception of cohesion and conspiracy: a pre-registered, double-blind, placebo-controlled experiment.Psychopharmacology · 2024Article
- Neuronal correlates of eyeblinks are an expression of primary consciousness phenomena.Scientific reports · 2023Article
- Activation of brain arousal networks coincident with eye blinks during resting state.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Article
- Zoom behavior during visual search modulates pupil diameter and reflects adaptive control states.PloS one · 2023Article
- Spontaneous Eye Blink Rate During the Working Memory Delay Period Predicts Task Accuracy.Frontiers in psychology · 2022Article
- Internet Usage Habits and Experienced Levels of Psychopathology: A Pilot Study on Association with Spontaneous Eye Blinking Rate.Journal of personalized medicine · 2021Article
- Dopaminergic medication reduces striatal sensitivity to negative outcomes in Parkinson's disease.Brain : a journal of neurology · 2019Article
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3 authors.
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Abstract
Spontaneous eye blink rate (sEBR) has been linked to striatal dopamine function and to how individuals make value-based choices after a period of reinforcement learning (RL). While sEBR is thought to reflect how individuals learn from the negative outcomes of their choices, this idea has not been tested explicitly. This study assessed how individual differences in sEBR relate to learning by focusing on the cognitive processes that drive RL. Using Bayesian latent mixture modelling to quantify the mapping between RL behaviour and its underlying cognitive processes, we were able to differentiate low and high sEBR individuals at the level of these cognitive processes. Further inspection of these cognitive processes indicated that sEBR uniquely indexed explore-exploit tendencies during RL: lower sEBR predicted exploitative choices for high valued options, whereas higher sEBR predicted exploration of lower value options. This relationship was additionally supported by a network analysis where, notably, no link was observed between sEBR and how individuals learned from negative outcomes. Our findings challenge the notion that sEBR predicts learning from negative outcomes during RL, and suggest that sEBR predicts individual explore-exploit tendencies. These then influence value sensitivity during choices to support successful performance when facing uncertain reward.
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