ReviewNeuroscience and biobehavioral reviews2023
Computational perspectives on human fear and anxiety.
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 15 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
15 citing papers in PubMed, 29 citations in OpenAlex.
- Seeing Through Feeling: Dynamic Interplay Between Emotion and Visual Perception.Brain sciences · 2026Review
- Direct modulation of human GABA-A αFrontiers in neuroscience · 2026Review
- Computational Modelling Reveals Slower Safety Learning and Threat Extinction are Associated With Higher Anxiety Severity in Remote Fear Conditioning.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Interpreting Anxiety Disorders From the Perspective of Interoceptive Computational Models.Brain and behavior · 2025Review
- Computational signatures of uncertainty are reflected in motor cortex excitatory neurochemistry.Nature communications · 2025Article
- Artificial Intelligence-Based Methods and Omics for Mental Illness Diagnosis: A Review.Bioengineering (Basel, Switzerland) · 2025Review
- Difficult-to-Treat Anxiety: A Neurocomputational Framework.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Cognition-enhanced geospatial decision framework integrating fuzzy FCA, surprisingly popular method, and a large language model.Scientific reports · 2025Article
- Agent-Based Behavioral Modeling of Human Associative Learning in a Complex Approach-Avoidance Conflict Task.Computational brain & behavior · 2025Article
- Intersect between brain mechanisms of conditioned threat, active avoidance, and reward.Communications psychology · 2025Review
- Sex Based Comparison of Health Self-Perception, Sleep, Anxiety, and Body Composition Among University Students.International journal of public health · 2025Article
- Computational modeling of fear and stress responses: validation using consolidated fear and stress protocols.Frontiers in systems neuroscience · 2024Article
- Functional sophistication in human escape.iScience · 2023Article
- Introduction to the special issue on the Neurobiology of Human Fear and Anxiety.Neuroscience and biobehavioral reviews · 2023Article
- Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches.Neuroscience and biobehavioral reviews · 2023Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Fear and anxiety are adaptive emotions that serve important defensive functions, yet in excess, they can be debilitating and lead to poor mental health. Computational modelling of behaviour provides a mechanistic framework for understanding the cognitive and neurobiological bases of fear and anxiety, and has seen increasing interest in the field. In this brief review, we discuss recent developments in the computational modelling of human fear and anxiety. Firstly, we describe various reinforcement learning strategies that humans employ when learning to predict or avoid threat, and how these relate to symptoms of fear and anxiety. Secondly, we discuss initial efforts to explore, through a computational lens, approach-avoidance conflict paradigms that are popular in animal research to measure fear- and anxiety-relevant behaviours. Finally, we discuss negative biases in decision-making in the face of uncertainty in anxiety.
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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 Socratic graph.