ReviewNeuroscience and biobehavioral reviews2023
Emotions as computations.
Review in Neuroscience and biobehavioral reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed.
- Emotional Context Modulates Neural Prediction-Error Encoding.Psychophysiology · 2026Article
- Dissociable roles of reward prediction error in the contrasting mood dynamics of depression and anxiety.eLife · 2026Article
- Article
- Mood computational mechanisms underlying increased risk behavior in adolescent suicidal patients.eLife · 2026Article
- Assessing the validity and reliability of computational phenotyping of mood.PLoS computational biology · 2026Article
- Affective valence as a computational signal for learning value.Communications psychology · 2026Article
- Indecision and recency-weighted evidence integration in non-clinical and clinical settings.Nature human behaviour · 2026Article
- Biomimetic Synthetic Somatic Markers in the Pixelverse: A Bio-Inspired Framework for Intuitive Artificial Intelligence.Biomimetics (Basel, Switzerland) · 2026Article
- Stakeholder Perspectives on Humanistic Implementation of Computer Perception in Health Care: Qualitative Study.JMIR mental health · 2026Article
- A computational mechanism linking momentary craving and decision-making in alcohol drinkers and cannabis users.Nature. Mental health · 2026Article
- When Collaboration Falters, Insensitivity to How Our Actions Affect Others Drives Inflated Self-evaluations.Computational brain & behavior · 2026Article
- An Integrative Appraisal Model of Epistemic Curiosity.Affective science · 2025Review
- Leveling up fun: learning progress, expectations, and success influence enjoyment in video games.Scientific reports · 2025Article
- Difficult-to-Treat Anxiety: A Neurocomputational Framework.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Separable neural signals for reward and emotion prediction errors.Nature communications · 2025Article
- The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025Review
- Negative affect-driven impulsivity as hierarchical model-based overgeneralization.Trends in cognitive sciences · 2025Review
- Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder.Translational psychiatry · 2025Article
- Emotions and individual differences shape human foraging under threat.Nature. Mental health · 2025Article
- Affective integration in experience, judgment, and decision-making.Communications psychology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Emotions ubiquitously impact action, learning, and perception, yet their essence and role remain widely debated. Computational accounts of emotion aspire to answer these questions with greater conceptual precision informed by normative principles and neurobiological data. We examine recent progress in this regard and find that emotions may implement three classes of computations, which serve to evaluate states, actions, and uncertain prospects. For each of these, we use the formalism of reinforcement learning to offer a new formulation that better accounts for existing evidence. We then consider how these distinct computations may map onto distinct emotions and moods. Integrating extensive research on the causes and consequences of different emotions suggests a parsimonious one-to-one mapping, according to which emotions are integral to how we evaluate outcomes (pleasure & pain), learn to predict them (happiness & sadness), use them to inform our (frustration & content) and others' (anger & gratitude) actions, and plan in order to realize (desire & hope) or avoid (fear & anxiety) uncertain outcomes.
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What Socratic holds
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 Socratic graph.