ArticleScience advances2020
Unsupervised experience with temporal continuity of the visual environment is causally involved in the development of V1 complex cells.
Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 34 citations in OpenAlex.
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- Seeing what you hear: Compression of rat visual perceptual space by task-irrelevant sounds.PLoS computational biology · 2025Article
- Parallel development of object recognition in newborn chicks and deep neural networks.PLoS computational biology · 2024Article
- Signatures of hierarchical temporal processing in the mouse visual system.PLoS computational biology · 2024Article
- The Development of Object Recognition Requires Experience with the Surface Features of Objects.Animals : an open access journal from MDPI · 2024Article
- Unsupervised learning on spontaneous retinal activity leads to efficient neural representation geometry.ArXiv · 2023Article
- Truly pattern: Nonlinear integration of motion signals is required to account for the responses of pattern cells in rat visual cortex.Science advances · 2023Article
- The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks.Nature neuroscience · 2023Article
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- Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception.Frontiers in computational neuroscience · 2023Article
- Motor-related signals support localization invariance for stable visual perception.PLoS computational biology · 2022Article
- Efficient processing of natural scenes in visual cortex.Frontiers in cellular neuroscience · 2022Review
- Rat sensitivity to multipoint statistics is predicted by efficient coding of natural scenes.eLife · 2021Article
- Rats spontaneously perceive global motion direction of drifting plaids.PLoS computational biology · 2021Article
- Temporal stability of stimulus representation increases along rodent visual cortical hierarchies.Nature communications · 2021Article
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- Learning Invariant Object and Spatial View Representations in the Brain Using Slow Unsupervised Learning.Frontiers in computational neuroscience · 2021Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unsupervised adaptation to the spatiotemporal statistics of visual experience is a key computational principle that has long been assumed to govern postnatal development of visual cortical tuning, including orientation selectivity of simple cells and position tolerance of complex cells in primary visual cortex (V1). Yet, causal empirical evidence supporting this hypothesis is scant. Here, we show that degrading the temporal continuity of visual experience during early postnatal life leads to a sizable reduction of the number of complex cells and to an impairment of their functional properties while fully sparing the development of simple cells. This causally implicates adaptation to the temporal structure of the visual input in the development of transformation tolerance but not of shape tuning, thus tightly constraining computational models of unsupervised cortical learning.
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Registered trials
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