ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2020
Global Motion Processing by Populations of Direction-Selective Retinal Ganglion Cells.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020. 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, 15 citations in OpenAlex.
- Diversity and Feature Selectivity of Primate Retinal Ganglion Cells.Annual review of vision science · 2026Review
- Natural motion statistics unify direction computations.bioRxiv : the preprint server for biology · 2026Article
- A Biomimetic Visual Sensing Framework: Unsupervised Orientation Topographic Mapping via Self-Organizing Neural Networks.Biomimetics (Basel, Switzerland) · 2026Article
- Filter, Detector, Predictor: The expanding repertoire of retinal computation in vertebrates.Vision research · 2026Review
- Diverse and dynamic influences of saccades on visual representations in the mouse superior colliculus.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A Gaussian Mixture Model-Based Unsupervised Dendritic Artificial Visual System for Motion Direction Detection.Biomimetics (Basel, Switzerland) · 2025Article
- A Bio-Inspired Learning Dendritic Motion Detection Framework with Direction-Selective Horizontal Cells.Biomimetics (Basel, Switzerland) · 2025Article
- Direct comparison reveals algorithmic similarities in fly and mouse visual motion detection.iScience · 2023Article
- Populations of local direction-selective cells encode global motion patterns generated by self-motion.Science advances · 2022Article
- Shallow neural networks trained to detect collisions recover features of visual loom-selective neurons.eLife · 2022Article
- Predicting individual neuron responses with anatomically constrained task optimization.Current biology : CB · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Simple stimuli have been critical to understanding neural population codes in sensory systems. Yet it remains necessary to determine the extent to which this understanding generalizes to more complex conditions. To examine this problem, we measured how populations of direction-selective ganglion cells (DSGCs) from the retinas of male and female mice respond to a global motion stimulus with its direction and speed changing dynamically. We then examined the encoding and decoding of motion direction in both individual and populations of DSGCs. Individual cells integrated global motion over ∼200 ms, and responses were tuned to direction. However, responses were sparse and broadly tuned, which severely limited decoding performance from small DSGC populations. In contrast, larger populations compensated for response sparsity, enabling decoding with high temporal precision (<100 ms). At these timescales, correlated spiking was minimal and had little impact on decoding performance, unlike results obtained using simpler local motion stimuli decoded over longer timescales. We use these data to define different DSGC population decoding regimes that use or mitigate correlated spiking to achieve high-spatial versus high-temporal resolution.
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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.