ArticleCurrent opinion in behavioral sciences2024
Dopaminergic computations for perceptual decisions.
Article in Current opinion in behavioral sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
- Dopamine Dynamics in the Nucleus Accumbens Reflect Confidence in Detecting the Occurrence and Nonoccurrence of Visual Signals in Perceptual Decision-Making.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Ventral striatum temporal interference brain stimulation enhances the reward positivity event-related potential and reduces anxiety.Research square · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Studies linking the brain's dopamine signals with learning and decision making have enjoyed enormous progress using predominantly value-based decision-making tasks. However, recent studies have demonstrated pervasive dopamine signaling also during perceptual decision making. These signals have been shown to depend on both feedback and perceptual parameters such as perceptual decision confidence and sensory statistics. Here, we review recent studies investigating dopamine signals in simple and complex forms of perceptual decision tasks across species and dopaminergic circuits. We discuss how reinforcement learning (RL) models can account for key aspects of learning during perceptual decision making and its dopaminergic underpinnings, thus bridging the gap with the literature on dopamine in value-based decisions. Finally, we propose that RL may provide a promising framework to address current challenges in the dopamine literature, such as explaining the function of its heterogeneous responses and its role in learning from naive to expert.
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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.