ArticleCurrent biology : CB2021
Early Emergence of Solid Shape Coding in Natural and Deep Network Vision.
Article in Current biology : CB, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24 citing papers in PubMed.
- Optotagging in primate cortex uncovers excitatory and inhibitory neuron specializations in form vision.Nature communications · 2026Article
- Stable readout of visual representations mediates flexible generalization.Nature communications · 2026Article
- Integrated metabolomics and proteomics from voxelated cortical hemispheres of adult rhesus monkeys.bioRxiv : the preprint server for biology · 2026Article
- Computational constraints underlying shape and texture functional domain organization in macaque V4.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- The Richness of Vision in the Mammalian Brain: Neural Codes for Visual Perception and Behavior in Three Dimensions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- Deep learning-driven characterization of single cell tuning in primate visual area V4 supports topological organization.bioRxiv : the preprint server for biology · 2025Article
- Using Generative Models of Naturalistic Scenes to Sample Neural Population Tuning Manifolds.The European journal of neuroscience · 2025Article
- Responses of neurons in macaque V4 to object and texture images.bioRxiv : the preprint server for biology · 2025Article
- Orthogonal neural representations support perceptual judgments of natural stimuli.Scientific reports · 2025Article
- High-Density Recording Reveals Sparse Clusters (But Not Columns) for Shape and Texture Encoding in Macaque V4.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Artificial Visual System for Stereo-Orientation Recognition Based on Hubel-Wiesel Model.Biomimetics (Basel, Switzerland) · 2025Article
- Coordinated Response Modulations Enable Flexible Use of Visual Information.bioRxiv : the preprint server for biology · 2024Article
- Orthogonal neural representations support perceptual judgements of natural stimuli.bioRxiv : the preprint server for biology · 2024Article
- Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks.PLoS computational biology · 2024Article
- High-density recording reveals sparse clusters (but not columns) for shape and texture encoding in macaque V4.bioRxiv : the preprint server for biology · 2023Article
- Article
- Learning a Model of Shape Selectivity in V4 Cells Reveals Shape Encoding Mechanisms in the Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Encoding of 3D physical dimensions by face-selective cortical neurons.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Processing of visual statistics of naturalistic videos in macaque visual areas V1 and V4.Brain structure & function · 2022Article
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7 authors.
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Abstract
Area V4 is the first object-specific processing stage in the ventral visual pathway, just as area MT is the first motion-specific processing stage in the dorsal pathway. For almost 50 years, coding of object shape in V4 has been studied and conceived in terms of flat pattern processing, given its early position in the transformation of 2D visual images. Here, however, in awake monkey recording experiments, we found that roughly half of V4 neurons are more tuned and responsive to solid, 3D shape-in-depth, as conveyed by shading, specularity, reflection, refraction, or disparity cues in images. Using 2-photon functional microscopy, we found that flat- and solid-preferring neurons were segregated into separate modules across the surface of area V4. These findings should impact early shape-processing theories and models, which have focused on 2D pattern processing. In fact, our analyses of early object processing in AlexNet, a standard visual deep network, revealed a similar distribution of sensitivities to flat and solid shape in layer 3. Early processing of solid shape, in parallel with flat shape, could represent a computational advantage discovered by both primate brain evolution and deep-network training.
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