ArticleeNeuro
Sharpening of Hierarchical Visual Feature Representations of Blurred Images.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- How Layer-Specific fMRI Can Contribute to Understanding Perceptual Disturbances Across Psychiatric Disorders.Current topics in behavioral neurosciences · 2025Review
- Transsaccadic perception of changes in object regularity.Journal of vision · 2024Article
- Recent Advances at the Interface of Neuroscience and Artificial Neural Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Review
- Dynamics of Heading and Choice-Related Signals in the Parieto-Insular Vestibular Cortex of Macaque Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Distillation of Regional Activity Reveals Hidden Content of Neural Information in Visual Processing.Frontiers in human neuroscience · 2021Article
- Characterization of deep neural network features by decodability from human brain activity.Scientific data · 2019Article
- Predicting eye movement patterns from fMRI responses to natural scenes.Nature communications · 2018Article
- How biological attention mechanisms improve task performance in a large-scale visual system model.eLife · 2018Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The robustness of the visual system lies in its ability to perceive degraded images. This is achieved through interacting bottom-up, recurrent, and top-down pathways that process the visual input in concordance with stored prior information. The interaction mechanism by which they integrate visual input and prior information is still enigmatic. We present a new approach using deep neural network (DNN) representation to reveal the effects of such integration on degraded visual inputs. We transformed measured human brain activity resulting from viewing blurred images to the hierarchical representation space derived from a feedforward DNN. Transformed representations were found to veer toward the original nonblurred image and away from the blurred stimulus image. This indicated deblurring or sharpening in the neural representation, and possibly in our perception. We anticipate these results will help unravel the interplay mechanism between bottom-up, recurrent, and top-down pathways, leading to more comprehensive models of vision.
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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.