ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2021
Nonlinear Spatial Integration Underlies the Diversity of Retinal Ganglion Cell Responses to Natural Images.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 30 citations in OpenAlex.
- Spatially local inhibition and synaptic plasticity together enable dynamic, context-dependent integration of parallel sensory pathways.Cell reports · 2026Article
- Spatial Adaptation of Primate Retinal Ganglion Cells Between Artificial and Natural Stimuli.eNeuro · 2026Article
- Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural movies.PLoS computational biology · 2026Article
- Differential topographic organization and retinal inheritance of direction and orientation selectivity in the visual thalamus.Nature communications · 2025Article
- Nonlinear spatial integration allows the retina to detect the sign of defocus in natural scenes.Science advances · 2025Article
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- Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the Retina.PLoS computational biology · 2024Article
- Top-down modulation of the retinal code via histaminergic neurons of the hypothalamus.Science advances · 2024Article
- Probabilistic neural transfer function estimation with Bayesian system identification.PLoS computational biology · 2024Article
- Dynamic Nonlinear Spatial Integrations on Encoding Contrasting Stimuli of Tectal Neurons.Animals : an open access journal from MDPI · 2024Article
- Distributed feature representations of natural stimuli across parallel retinal pathways.Nature communications · 2024Article
- Diversity of Ganglion Cell Responses to Saccade-Like Image Shifts in the Primate Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Context-dependent selectivity to natural images in the retina.Nature communications · 2022Article
- Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration.PLoS computational biology · 2022Article
- Enhancing the dark side: asymmetric gain of cone photoreceptors underpins their discrimination of visual scenes based on skewness.The Journal of physiology · 2022Article
- Linear and nonlinear chromatic integration in the mouse retina.Nature communications · 2021Article
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Authors and funding
2 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
How neurons encode natural stimuli is a fundamental question for sensory neuroscience. In the early visual system, standard encoding models assume that neurons linearly filter incoming stimuli through their receptive fields, but artificial stimuli, such as contrast-reversing gratings, often reveal nonlinear spatial processing. We investigated to what extent such nonlinear processing is relevant for the encoding of natural images in retinal ganglion cells in mice of either sex. We found that standard linear receptive field models yielded good predictions of responses to flashed natural images for a subset of cells but failed to capture the spiking activity for many others. Cells with poor model performance displayed pronounced sensitivity to fine spatial contrast and local signal rectification as the dominant nonlinearity. By contrast, sensitivity to high-frequency contrast-reversing gratings, a classical test for nonlinear spatial integration, was not a good predictor of model performance and thus did not capture the variability of nonlinear spatial integration under natural images. In addition, we also observed a class of nonlinear ganglion cells with inverse tuning for spatial contrast, responding more strongly to spatially homogeneous than to spatially structured stimuli. These findings highlight the diversity of receptive field nonlinearities as a crucial component for understanding early sensory encoding in the context of natural stimuli.
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