ArticleScience advances2020
Efficient inverse graphics in biological face processing.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 100 citations in OpenAlex.
- Facial expression discrimination emerges from partially overlapping neural subspaces of detection and identity.Nature communications · 2026Article
- The primate claustrum as a hub for precision weighting of prediction errors across the cortical hierarchy.PLoS biology · 2026Article
- Neuronal tuning aligns dynamically with object and texture manifolds across the visual hierarchy.Nature neuroscience · 2026Article
- Bottom-up and generative computations uniquely explain neural responses across the social brain.bioRxiv : the preprint server for biology · 2026Article
- Bio-inspired unified model for representing geometric relations in robotic perception.Scientific reports · 2026Article
- Comparison of human and marmoset basic-level face categorization based on shape.Scientific reports · 2025Article
- Comparing a computational model of visual problem solving with human vision on a difficult vision task.PLoS computational biology · 2025Article
- Impaired face identity discrimination in individuals with cerebral visual impairment: a pilot study.Annals of translational medicine · 2025Article
- Multiarea processing in body patches of the primate inferotemporal cortex implements inverse graphics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Computational models reveal that intuitive physics underlies visual processing of soft objects.Nature communications · 2025Article
- RETRACTED: LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.PloS one · 2025Article
- Approximating Human-Level 3D Visual Inferences With Deep Neural Networks.Open mind : discoveries in cognitive science · 2025Article
- Building machines that learn and think with people.Nature human behaviour · 2024Review
- Contrastive learning explains the emergence and function of visual category-selective regions.Science advances · 2024Article
- The attentive reconstruction of objects facilitates robust object recognition.PLoS computational biology · 2024Article
- Computational reconstruction of mental representations using human behavior.Nature communications · 2024Article
- Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks.eLife · 2024Article
- Using deep neural networks to disentangle visual and semantic information in human perception and memory.Nature human behaviour · 2024Article
- Perception of 3D shape integrates intuitive physics and analysis-by-synthesis.Nature human behaviour · 2024Article
- Disentangled deep generative models reveal coding principles of the human face processing network.PLoS computational biology · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Vision not only detects and recognizes objects, but performs rich inferences about the underlying scene structure that causes the patterns of light we see. Inverting generative models, or "analysis-by-synthesis", presents a possible solution, but its mechanistic implementations have typically been too slow for online perception, and their mapping to neural circuits remains unclear. Here we present a neurally plausible efficient inverse graphics model and test it in the domain of face recognition. The model is based on a deep neural network that learns to invert a three-dimensional face graphics program in a single fast feedforward pass. It explains human behavior qualitatively and quantitatively, including the classic "hollow face" illusion, and it maps directly onto a specialized face-processing circuit in the primate brain. The model fits both behavioral and neural data better than state-of-the-art computer vision models, and suggests an interpretable reverse-engineering account of how the brain transforms images into percepts.
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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.