ArticleProceedings of the National Academy of Sciences of the United States of America2022
A connectivity-constrained computational account of topographic organization in primate high-level visual cortex.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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Who cites it
42 citing papers in PubMed.
- Self-supervised learning yields representational signatures of category-selective cortex.Communications biology · 2026Article
- A single computational objective can produce specialization of streams in visual cortex.Nature communications · 2026Article
- Multidimensional Feature Tuning in Category Selective Areas of Human Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Re-emergence of orientation coding in primate IT cortex and deep networks reveals functional hubs for visual processing.bioRxiv : the preprint server for biology · 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 reading brain - Transforming vision into language.Progress in neurobiology · 2026Review
- Dual computational systems in the development and evolution of mammalian brains.Science advances · 2026Article
- Article
- Rethinking category-selectivity in human visual cortex.Cognitive neuroscience · 2026Review
- Deep learning in fetal, infant, and toddler neuroimaging research.Developmental cognitive neuroscience · 2026Review
- Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks.Nature communications · 2026Article
- The Emergence of Topography and Hemispheric Lateralization in High-Level Vision.Quarterly journal of experimental psychology (2006) · 2026Review
- Computational constraints underlying shape and texture functional domain organization in macaque V4.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Investigating action topography in visual cortex and deep artificial neural networks.Nature communications · 2025Article
- End-to-end topographic networks as models of cortical map formation and human visual behaviour.Nature human behaviour · 2025Article
- Oscillatory brain dynamics underlying affective face processing.Social cognitive and affective neuroscience · 2025Article
- TopoNets: High performing vision and language models with brain-like topography.... International Conference on Learning Representations · 2025Article
- Individual variation in the functional lateralization of human ventral temporal cortex: Local competition and long-range coupling.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Individual variation in the functional lateralization of human ventral temporal cortex: Local competition and long-range coupling.bioRxiv : the preprint server for biology · 2025Article
- Brain-inspired wiring economics for artificial neural networks.PNAS nexus · 2025Article
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3 authors.
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Abstract
Inferotemporal (IT) cortex in humans and other primates is topographically organized, containing multiple hierarchically organized areas selective for particular domains, such as faces and scenes. This organization is commonly viewed in terms of evolved domain-specific visual mechanisms. Here, we develop an alternative, domain-general and developmental account of IT cortical organization. The account is instantiated in interactive topographic networks (ITNs), a class of computational models in which a hierarchy of model IT areas, subject to biologically plausible connectivity-based constraints, learns high-level visual representations optimized for multiple domains. We find that minimizing a wiring cost on spatially organized feedforward and lateral connections, alongside realistic constraints on the sign of neuronal connectivity within model IT, results in a hierarchical, topographic organization. This organization replicates a number of key properties of primate IT cortex, including the presence of domain-selective spatial clusters preferentially involved in the representation of faces, objects, and scenes; columnar responses across separate excitatory and inhibitory units; and generic spatial organization whereby the response correlation of pairs of units falls off with their distance. We thus argue that topographic domain selectivity is an emergent property of a visual system optimized to maximize behavioral performance under generic connectivity-based constraints.
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