ArticleeLife2018
'Artiphysiology' reveals V4-like shape tuning in a deep network trained for image classification.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed.
- Optotagging in primate cortex uncovers excitatory and inhibitory neuron specializations in form vision.Nature communications · 2026Article
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- A TALE OF TWO TAILS: PREFERRED AND ANTI-PREFERRED NATURAL STIMULI IN VISUAL CORTEX.... International Conference on Learning Representations · 2026Article
- Deep learning-driven characterization of single cell tuning in primate visual area V4 supports topological organization.bioRxiv : the preprint server for biology · 2025Article
- A Multi-Region Brain Model to Elucidate the Role of Hippocampus in Spatially Embedded Decision-Making.bioRxiv : the preprint server for biology · 2025Article
- Article
- Orthogonal neural representations support perceptual judgments of natural stimuli.Scientific reports · 2025Article
- Sparse high-dimensional decomposition of non-primary auditory cortical receptive fields.PLoS computational biology · 2025Article
- Brain-like border ownership signals support prediction of natural videos.bioRxiv : the preprint server for biology · 2024Article
- Orthogonal neural representations support perceptual judgements of natural stimuli.bioRxiv : the preprint server for biology · 2024Article
- The Impact of Scene Context on Visual Object Recognition: Comparing Humans, Monkeys, and Computational Models.bioRxiv : the preprint server for biology · 2024Article
- Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks.PLoS computational biology · 2024Article
- Article
- Compact deep neural network models of visual cortex.bioRxiv : the preprint server for biology · 2023Article
- 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
- Dissociation in neuronal encoding of object versus surface motion in the primate brain.Current biology : CB · 2023Article
- Accounting for Bias in the Estimation ofThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- MouseNet: A biologically constrained convolutional neural network model for the mouse visual cortex.PLoS computational biology · 2022Article
- From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstraction.Journal of vision · 2022Article
- Inference via sparse coding in a hierarchical vision model.Journal of vision · 2022Article
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3 authors.
Funding
Abstract
Deep networks provide a potentially rich interconnection between neuroscientific and artificial approaches to understanding visual intelligence, but the relationship between artificial and neural representations of complex visual form has not been elucidated at the level of single-unit selectivity. Taking the approach of an electrophysiologist to characterizing single CNN units, we found many units exhibit translation-invariant boundary curvature selectivity approaching that of exemplar neurons in the primate mid-level visual area V4. For some V4-like units, particularly in middle layers, the natural images that drove them best were qualitatively consistent with selectivity for object boundaries. Our results identify a novel image-computable model for V4 boundary curvature selectivity and suggest that such a representation may begin to emerge within an artificial network trained for image categorization, even though boundary information was not provided during training. This raises the possibility that single-unit selectivity in CNNs will become a guide for understanding sensory cortex.
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