ArticleeLife2020
Reconstruction of natural images from responses of primate retinal ganglion cells.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- A standard model for the vertebrate retina.Vision research · 2026Article
- Article
- Cell-type specific repertoire of responses to natural scenes in primate retinal ganglion cells.Frontiers in cellular neuroscience · 2025Article
- Article
- Predictably manipulating photoreceptor light responses to reveal their role in downstream visual responses.eLife · 2024Article
- Fixational eye movements enhance the precision of visual information transmitted by the primate retina.Nature communications · 2024Article
- Predictably manipulating photoreceptor light responses to reveal their role in downstream visual responses.bioRxiv : the preprint server for biology · 2024Article
- Fixational Eye Movements Enhance the Precision of Visual Information Transmitted by the Primate Retina.bioRxiv : the preprint server for biology · 2024Article
- Decoding dynamic visual scenes across the brain hierarchy.PLoS computational biology · 2024Article
- A virtual patient simulation modeling the neural and perceptual effects of human visual cortical stimulation, from pulse trains to percepts.Scientific reports · 2024Article
- Neural populations within macaque early vestibular pathways are adapted to encode natural self-motion.PLoS biology · 2024Article
- Inferring light responses of primate retinal ganglion cells using intrinsic electrical signatures.Journal of neural engineering · 2023Article
- Inference of Electrical Stimulation Sensitivity from Recorded Activity of Primate Retinal Ganglion Cells.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- High-Fidelity Reproduction of Visual Signals by Electrical Stimulation in the Central Primate Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Learning low-dimensional generalizable natural features from retina using a U-net.Advances in neural information processing systems · 2022Article
- Toward a personalized closed-loop stimulation of the visual cortex: Advances and challenges.Frontiers in cellular neuroscience · 2022Article
- In vivo chromatic and spatial tuning of foveolar retinal ganglion cells in Macaca fascicularis.PloS one · 2022Article
- Encoding Taste: From Receptors to Perception.Handbook of experimental pharmacology · 2022Article
- A machine learning framework to optimize optic nerve electrical stimulation for vision restoration.Patterns (New York, N.Y.) · 2021Article
- A quantitative description of macaque ganglion cell responses to natural scenes: the interplay of time and space.The Journal of physiology · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The visual message conveyed by a retinal ganglion cell (RGC) is often summarized by its spatial receptive field, but in principle also depends on the responses of other RGCs and natural image statistics. This possibility was explored by linear reconstruction of natural images from responses of the four numerically-dominant macaque RGC types. Reconstructions were highly consistent across retinas. The optimal reconstruction filter for each RGC - its visual message - reflected natural image statistics, and resembled the receptive field only when nearby, same-type cells were included. ON and OFF cells conveyed largely independent, complementary representations, and parasol and midget cells conveyed distinct features. Correlated activity and nonlinearities had statistically significant but minor effects on reconstruction. Simulated reconstructions, using linear-nonlinear cascade models of RGC light responses that incorporated measured spatial properties and nonlinearities, produced similar results. Spatiotemporal reconstructions exhibited similar spatial properties, suggesting that the results are relevant for natural vision.
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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.