ArticleFrontiers in psychology2019
The Effect of Reduced Learning Ability on Avoidance in Psychopathy: A Computational Approach.
Article in Frontiers in psychology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Dissecting how psychopathic traits are linked to learning in different contexts: A multilevel computational and electrophysiological approach.Cognitive, affective & behavioral neuroscience · 2025Article
- Exploring when to exploit: the cognitive underpinnings of foraging-type decisions in relation to psychopathy.Translational psychiatry · 2025Article
- Diminished reward circuit response underlies pain avoidance learning deficits in problem drinkers.NeuroImage. Clinical · 2025Article
- Diminished pain sensitivity mediates the relationship between psychopathic traits and reduced learning from pain.Communications psychology · 2024Article
- Neural correlates of proactive avoidance deficits and alcohol use motives in problem drinking.Translational psychiatry · 2024Article
- Deficits in proactive avoidance and neural responses to drinking motives in problem drinkers.Research square · 2024Article
- The Neural Correlates of Individual Differences in Reinforcement Learning during Pain Avoidance and Reward Seeking.eNeuro · 2024Article
- Striatal GABA levels correlate with risk sensitivity in monetary loss.Frontiers in neuroscience · 2024Article
- A neurocognitive model of early onset persistent and desistant antisocial behavior in early adulthood.Frontiers in human neuroscience · 2023Review
- Modeling Variation in Empathic Sensitivity Using Go/No-Go Social Reinforcement Learning.Affective science · 2022Article
- A learning mechanism shaping risk preferences and a preliminary test of its relationship with psychopathic traits.Scientific reports · 2021Article
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3 authors.
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Abstract
Individuals with psychopathy often show deficits in learning, which often have negative consequences. Several theories have been proposed to explain psychopathic behaviors, but the learning mechanisms in psychopathy are still unclear. To clarify the learning anomalies in psychopathy, we fitted reinforcement learning (RL) models to behavioral data. We conducted two experiments to examine the effect of psychopathy as a group difference (Experiment 1) and as a continuum (Experiment 2). Forty-three undergraduates (in Experiment 1) and fifty-five undergraduate and graduate students (in Experiment 2) performed a go/no-go based learning task with accompanying rewards or punishments. Although we observed no differences in learning performance among the levels of psychopathic traits, the learning rate for the positive prediction error in the loss domain was lower for those with high-psychopathic trait than for those with low-psychopathic trait. This finding indicates that individuals with high-psychopathic traits update an action value less when they avoid a negative outcome. Our model can represent previous theories under a computational framework and provide a new perspective on impaired learning in psychopathy.
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