ArticleNature communications2018
Predicting eye movement patterns from fMRI responses to natural scenes.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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
24 citing papers in PubMed, 40 citations in OpenAlex.
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- Neural mechanisms of visual quality perception and adaptability in the visual pathway.Patterns (New York, N.Y.) · 2025Article
- Article
- Influence of drought stress on phosphorus dynamics and maize growth in tropical ecosystems.BMC plant biology · 2025Article
- Decoding Continuous Tracking Eye Movements from Cortical Spiking Activity.International journal of neural systems · 2025Article
- Visual Recognition Memory of Scenes Is Driven by Categorical, Not Sensory, Visual Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Atypical neural encoding of faces in individuals with autism spectrum disorder.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Understanding transformation tolerant visual object representations in the human brain and convolutional neural networks.NeuroImage · 2022Article
- Predicting Identity-Preserving Object Transformations in Human Posterior Parietal Cortex and Convolutional Neural Networks.Journal of cognitive neuroscience · 2022Article
- Atypical gaze patterns in autistic adults are heterogeneous across but reliable within individuals.Molecular autism · 2022Article
- The representation of shape and texture in category-selective regions of ventral-temporal cortex.The European journal of neuroscience · 2022Article
- The contribution of object identity and configuration to scene representation in convolutional neural networks.PloS one · 2022Article
- Magnetic resonance-based eye tracking using deep neural networks.Nature neuroscience · 2021Article
- Examining the Coding Strength of Object Identity and Nonidentity Features in Human Occipito-Temporal Cortex and Convolutional Neural Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Limits to visual representational correspondence between convolutional neural networks and the human brain.Nature communications · 2021Article
- Combining fMRI and Eye-tracking for the Study of Social Cognition.Neuroscience insights · 2021Article
- A Case for Studying Naturalistic Eye and Head Movements in Virtual Environments.Frontiers in psychology · 2021Article
- Performance vs. competence in human-machine comparisons.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Automated design of a convolutional neural network with multi-scale filters for cost-efficient seismic data classification.Nature communications · 2020Article
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 at 1 institution in 1 country.
Funding
Abstract
Eye tracking has long been used to measure overt spatial attention, and computational models of spatial attention reliably predict eye movements to natural images. However, researchers lack techniques to noninvasively access spatial representations in the human brain that guide eye movements. Here, we use functional magnetic resonance imaging (fMRI) to predict eye movement patterns from reconstructed spatial representations evoked by natural scenes. First, we reconstruct fixation maps to directly predict eye movement patterns from fMRI activity. Next, we use a model-based decoding pipeline that aligns fMRI activity to deep convolutional neural network activity to reconstruct spatial priority maps and predict eye movements in a zero-shot fashion. We predict human eye movement patterns from fMRI responses to natural scenes, provide evidence that visual representations of scenes and objects map onto neural representations that predict eye movements, and find a novel three-way link between brain activity, deep neural network models, and behavior.
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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.