ReviewTrends in cognitive sciences2025
Beyond binding: from modular to natural vision.
Review in Trends in cognitive sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- A unifying principle of chromatic coding across biological and artificial systems.Science advances · 2026Article
- Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.PLoS computational biology · 2026Article
- Modeling attention and binding in the brain through bidirectional recurrent gating.Nature communications · 2026Article
- Mapping macaque to human cortex with natural scene responses.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Investigating the temporal dynamics and modeling of mid-level feature representations in humans.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
2 authors.
Funding
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Abstract
The classical view of visual cortex organization as a collection of specialized modules processing distinct features like color and motion has profoundly influenced neuroscience for decades. This framework, rooted in historical philosophical distinctions between qualities, gave rise to the 'binding problem': how the brain integrates these separately processed features into coherent percepts. We present converging evidence from electrophysiology, neuroimaging, and lesion studies that challenges this framework. We argue that the binding problem may be an artifact of theoretical assumptions rather than a real computational challenge for the brain. Drawing insights from deep neural networks (DNNs) and recent empirical findings, we propose a framework where the visual cortex represents naturally co-occurring patterns of information rather than processing isolated features that need binding.
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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.