ArticleNature communications2021
Face detection in untrained deep neural networks.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 70 citations in OpenAlex.
- Self-supervised learning yields representational signatures of category-selective cortex.Communications biology · 2026Article
- Tracing aesthetic experience from perception and conception to appraisal using deep convolutional neural networks.iScience · 2026Article
- Category selectivity observed in the human brain is distinct from category selectivity observed in artificial neural networks.bioRxiv : the preprint server for biology · 2026Article
- The speed limit of visual perception: Bidirectional influence of image memorability and processing speed on perceived duration and recognition.PLoS computational biology · 2026Article
- Deep learning in fetal, infant, and toddler neuroimaging research.Developmental cognitive neuroscience · 2026Review
- Neuronal tuning aligns dynamically with object and texture manifolds across the visual hierarchy.Nature neuroscience · 2026Article
- Prewired static visual receptive fields for environment-agnostic perception.Patterns (New York, N.Y.) · 2026Article
- Individual differences in artificial neural networks capture individual differences in human behavior.bioRxiv : the preprint server for biology · 2026Article
- Convolutional architectures are cortex-aligned de novo.bioRxiv : the preprint server for biology · 2025Article
- Machine Learning Techniques for Simulating Human Psychophysical Testing of Low-Resolution Phosphene Face Images in Artificial Vision.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A large-scale examination of inductive biases shaping high-level visual representation in brains and machines.Nature communications · 2024Article
- Contrastive learning explains the emergence and function of visual category-selective regions.Science advances · 2024Article
- Maintenance and transformation of representational formats during working memory prioritization.Nature communications · 2024Article
- A Whole-Brain Topographic Ontology.Annual review of neuroscience · 2024Review
- Emergence of brain-like mirror-symmetric viewpoint tuning in convolutional neural networks.eLife · 2024Article
- Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects.bioRxiv : the preprint server for biology · 2024Article
- Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects.PLoS computational biology · 2024Article
- Understanding of facial features in face perception: insights from deep convolutional neural networks.Frontiers in computational neuroscience · 2024Article
- Face detection based on a human attention guided multi-scale model.Biological cybernetics · 2023Article
- The neural code for "face cells" is not face-specific.Science advances · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Face-selective neurons are observed in the primate visual pathway and are considered as the basis of face detection in the brain. However, it has been debated as to whether this neuronal selectivity can arise innately or whether it requires training from visual experience. Here, using a hierarchical deep neural network model of the ventral visual stream, we suggest a mechanism in which face-selectivity arises in the complete absence of training. We found that units selective to faces emerge robustly in randomly initialized networks and that these units reproduce many characteristics observed in monkeys. This innate selectivity also enables the untrained network to perform face-detection tasks. Intriguingly, we observed that units selective to various non-face objects can also arise innately in untrained networks. Our results imply that the random feedforward connections in early, untrained deep neural networks may be sufficient for initializing primitive visual selectivity.
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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.