ArticleNeuron2016
Direct Measurement of Correlation Responses in Drosophila Elementary Motion Detectors Reveals Fast Timescale Tuning.
Article in Neuron, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Fly navigational responses exploit plume-specific odor motion and gradient cues.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Machine learning discovers numerous new computational principles supporting elementary motion detection.Nature communications · 2026Article
- Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch.Nature human behaviour · 2026Article
- Afterimages drive a shared visual motion-reversal illusion inbioRxiv : the preprint server for biology · 2026Article
- Visual circuitry for distance estimation in Drosophila.Current biology : CB · 2025Article
- Adaptation to visual sparsity enhances responses to isolated stimuli.Current biology : CB · 2024Article
- Humans can use positive and negative spectrotemporal correlations to detect rising and falling pitch.bioRxiv : the preprint server for biology · 2024Article
- Optimization in Visual Motion Estimation.Annual review of vision science · 2024Review
- Direct comparison reveals algorithmic similarities in fly and mouse visual motion detection.iScience · 2023Article
- Long-timescale anti-directional rotation ineLife · 2023Article
- Dual Receptive Fields Underlying Target and Wide-Field Motion Sensitivity in Looming-Sensitive Descending Neurons.eNeuro · 2023Article
- Article
- Long timescale anti-directional rotation in Drosophila optomotor behavior.bioRxiv : the preprint server for biology · 2023Article
- Voltage to Calcium Transformation Enhances Direction Selectivity inThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Article
- Excitatory and inhibitory neural dynamics jointly tune motion detection.Current biology : CB · 2022Article
- Neural mechanisms to exploit positional geometry for collision avoidance.Current biology : CB · 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
- The physiological basis for contrast opponency in motion computation in Drosophila.Nature communications · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Animals estimate visual motion by integrating light intensity information over time and space. The integration requires nonlinear processing, which makes motion estimation circuitry sensitive to specific spatiotemporal correlations that signify visual motion. Classical models of motion estimation weight these correlations to produce direction-selective signals. However, the correlational algorithms they describe have not been directly measured in elementary motion-detecting neurons (EMDs). Here, we employed stimuli to directly measure responses to pairwise correlations in Drosophila's EMD neurons, T4 and T5. Activity in these neurons was required for behavioral responses to pairwise correlations and was predictive of those responses. The pattern of neural responses in the EMDs was inconsistent with one classical model of motion detection, and the timescale and selectivity of correlation responses constrained the temporal filtering properties in potential models. These results reveal how neural responses to pairwise correlations drive visual behavior in this canonical motion-detecting circuit.
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