ArticleNature communications2022
Context-dependent selectivity to natural images in the retina.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Natural motion statistics unify direction computations.bioRxiv : the preprint server for biology · 2026Article
- Filter, Detector, Predictor: The expanding repertoire of retinal computation in vertebrates.Vision research · 2026Review
- Origin and functional impact of early nonlinearities in primate retina.bioRxiv : the preprint server for biology · 2026Article
- Nonlinear spatial integration allows the retina to detect the sign of defocus in natural scenes.Science advances · 2025Article
- Effects of corticothalamic feedback depend on visual responsiveness and stimulus type.iScience · 2025Article
- Enhanced restoration of visual code after targeting ON bipolar cells compared with retinal ganglion cells with optogenetic therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Article
- Nitric oxide modulates contrast suppression in a subset of mouse retinal ganglion cells.eLife · 2025Article
- Stimulus-invariant aspects of the retinal code drive discriminability of natural scenes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Plaid masking explained with input-dependent dendritic nonlinearities.Scientific reports · 2024Article
- Article
- Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation.Nature communications · 2024Article
- An actor-model framework for visual sensory encoding.Nature communications · 2024Article
- Scalable Gaussian process inference of neural responses to natural images.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retina ganglion cells extract specific features from natural scenes and send this information to the brain. In particular, they respond to local light increase (ON responses), and/or decrease (OFF). However, it is unclear if this ON-OFF selectivity, characterized with synthetic stimuli, is maintained under natural scene stimulation. Here we recorded ganglion cell responses to natural images slightly perturbed by random noise patterns to determine their selectivity during natural stimulation. The ON-OFF selectivity strongly depended on the specific image. A single ganglion cell can signal luminance increase for one image, and luminance decrease for another. Modeling and experiments showed that this resulted from the non-linear combination of different retinal pathways. Despite the versatility of the ON-OFF selectivity, a systematic analysis demonstrated that contrast was reliably encoded in these responses. Our perturbative approach uncovered the selectivity of retinal ganglion cells to more complex features than initially thought.
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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.