ArticleScientific reports2019
Speed-Selectivity in Retinal Ganglion Cells is Sharpened by Broad Spatial Frequency, Naturalistic Stimuli.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Contrast Sensitivity Impairment in Diabetic Retinopathy: Clinical and Structural Correlates.Diagnostics (Basel, Switzerland) · 2026Review
- Better performance when recalling speed from object motion compared to texture motion.Journal of vision · 2026Article
- Distinct inhibitory connectivity motifs could trigger distinct forms of anticipation in the retinal network.Scientific reports · 2026Article
- Spatial Adaptation of Primate Retinal Ganglion Cells Between Artificial and Natural Stimuli.eNeuro · 2026Article
- Attention maps reveal stimulus-dependent retinal population codes.Frontiers in computational neuroscience · 2026Article
- DynTex: A real-time generative model of dynamic naturalistic luminance textures.Journal of vision · 2025Article
- Overcoming the limitations of motion sensor models by considering dendritic computations.Scientific reports · 2025Article
- Learning heterogeneous delays in a layer of spiking neurons for fast motion detection.Biological cybernetics · 2023Article
- Cortical recurrence supports resilience to sensory variance in the primary visual cortex.Communications biology · 2023Article
- Unfolded protein response IRE1/XBP1 signaling is required for healthy mammalian brain aging.The EMBO journal · 2022Article
- Predictive Visual Motion Extrapolation Emerges Spontaneously and without Supervision at Each Layer of a Hierarchical Neural Network with Spike-Timing-Dependent Plasticity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
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Authors and funding
4 authors.
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Abstract
Motion detection represents one of the critical tasks of the visual system and has motivated a large body of research. However, it remains unclear precisely why the response of retinal ganglion cells (RGCs) to simple artificial stimuli does not predict their response to complex, naturalistic stimuli. To explore this topic, we use Motion Clouds (MC), which are synthetic textures that preserve properties of natural images and are merely parameterized, in particular by modulating the spatiotemporal spectrum complexity of the stimulus by adjusting the frequency bandwidths. By stimulating the retina of the diurnal rodent, Octodon degus with MC we show that the RGCs respond to increasingly complex stimuli by narrowing their adjustment curves in response to movement. At the level of the population, complex stimuli produce a sparser code while preserving movement information; therefore, the stimuli are encoded more efficiently. Interestingly, these properties were observed throughout different populations of RGCs. Thus, our results reveal that the response at the level of RGCs is modulated by the naturalness of the stimulus - in particular for motion - which suggests that the tuning to the statistics of natural images already emerges at the level of the retina.
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