ArticleeLife2024
A chromatic feature detector in the retina signals visual context changes.
Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Locomotion optimizes sensory representations through a computational principle shared by rodents and primates.Science advances · 2026Article
- A large-scale dataset of functional mouse ganglion cell layer responses.Scientific data · 2026Article
- Eyewire II - A connectomic resource for resolving cell types and circuits of the mouse retina.bioRxiv : the preprint server for biology · 2026Article
- Inhibition benefits neural system identification.bioRxiv : the preprint server for biology · 2026Article
- The functional organization of retinal input to the mouse superior colliculus.bioRxiv : the preprint server for biology · 2026Article
- Different retinal microvascular response to flicker light between normal-tension glaucoma and high-tension primary open-angle glaucoma detected with optical coherence tomography angiography.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026Observational
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- Deep learning-driven characterization of single cell tuning in primate visual area V4 supports topological organization.bioRxiv : the preprint server for biology · 2025Article
- Exceptional Visual-Opsin Coexpression and Phenotypic Diversity in Outer-Retinal Photoreceptors of Caenophidian Snakes.The Journal of comparative neurology · 2025Article
- Nonlinear spatial integration allows the retina to detect the sign of defocus in natural scenes.Science advances · 2025Article
- Learning to cluster neuronal function.ArXiv · 2025Article
- Task-specific regional circuit adaptations in distinct mouse retinal ganglion cells.Science advances · 2025Article
- Nitric oxide modulates contrast suppression in a subset of mouse retinal ganglion cells.eLife · 2025Article
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- Foundation model of neural activity predicts response to new stimulus types and anatomy.bioRxiv : the preprint server for biology · 2024Article
- The Dynamic Sensorium competition for predicting large-scale mouse visual cortex activity from videos.ArXiv · 2024Article
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- Probabilistic neural transfer function estimation with Bayesian system identification.PLoS computational biology · 2024Article
- Asymmetric distribution of color-opponent response types across mouse visual cortex supports superior color vision in the sky.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
13 authors.
Funding
Abstract
The retina transforms patterns of light into visual feature representations supporting behaviour. These representations are distributed across various types of retinal ganglion cells (RGCs), whose spatial and temporal tuning properties have been studied extensively in many model organisms, including the mouse. However, it has been difficult to link the potentially nonlinear retinal transformations of natural visual inputs to specific ethological purposes. Here, we discover a nonlinear selectivity to chromatic contrast in an RGC type that allows the detection of changes in visual context. We trained a convolutional neural network (CNN) model on large-scale functional recordings of RGC responses to natural mouse movies, and then used this model to search in silico for stimuli that maximally excite distinct types of RGCs. This procedure predicted centre colour opponency in transient suppressed-by-contrast (tSbC) RGCs, a cell type whose function is being debated. We confirmed experimentally that these cells indeed responded very selectively to Green-OFF, UV-ON contrasts. This type of chromatic contrast was characteristic of transitions from ground to sky in the visual scene, as might be elicited by head or eye movements across the horizon. Because tSbC cells performed best among all RGC types at reliably detecting these transitions, we suggest a role for this RGC type in providing contextual information (i.e. sky or ground) necessary for the selection of appropriate behavioural responses to other stimuli, such as looming objects. Our work showcases how a combination of experiments with natural stimuli and computational modelling allows discovering novel types of stimulus selectivity and identifying their potential ethological relevance.
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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.