ArticleRoyal Society open science2021
Using genetic algorithms to uncover individual differences in how humans represent facial emotion.
Article in Royal Society open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- Central Vision Loss Alters Internal Emotion Representations: Evidence from a Generative Genetic Algorithm Paradigm.bioRxiv : the preprint server for biology · 2026Article
- Internal representations of facial emotions in schizophrenia.Schizophrenia research. Cognition · 2026Article
- Expression perceptive fields explain individual differences in the recognition of facial emotions.Communications psychology · 2024Article
- Facial representations of complex affective states combining pain and a negative emotion.Scientific reports · 2024Article
- Genetic algorithms reveal profound individual differences in emotion recognition.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Emotion recognition bias depends on stimulus morphing strategy.Attention, perception & psychophysics · 2022Article
- Anxiety and amygdala connectivity during movie-watching.Neuropsychologia · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Emotional facial expressions critically impact social interactions and cognition. However, emotion research to date has generally relied on the assumption that people represent categorical emotions in the same way, using standardized stimulus sets and overlooking important individual differences. To resolve this problem, we developed and tested a task using
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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.