ArticleCurrent biology : CB2020
Dynamic Signal Compression for Robust Motion Vision in Flies.
Article in Current biology : CB, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed, 78 citations in OpenAlex.
- 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
- Robust Detection of Small Moving Objects Against Real-World Complex Dynamic Natural Environments: Drosophila-Inspired Visual Neural Pathway Modeling.Biomimetics (Basel, Switzerland) · 2026Article
- Differential temporal filtering in the fly optic lobe.Journal of computational neuroscience · 2025Article
- Broken time-reversal symmetry in visual motion detection.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A recurrent neural circuit in Drosophila temporally sharpens visual inputs.Current biology : CB · 2025Article
- A Bio-Inspired Visual Neural Model for Robustly and Steadily Detecting Motion Directions of Translating Objects Against Variable Contrast in the Figure-Ground and Noise Interference.Biomimetics (Basel, Switzerland) · 2025Article
- Article
- Adaptation to visual sparsity enhances responses to isolated stimuli.Current biology : CB · 2024Article
- Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery.Sensors (Basel, Switzerland) · 2024Article
- Neural pathways and computations that achieve stable contrast processing tuned to natural scenes.Nature communications · 2024Article
- Article
- Article
- Optimization in Visual Motion Estimation.Annual review of vision science · 2024Review
- Article
- Broken time reversal symmetry in visual motion detection.bioRxiv : the preprint server for biology · 2024Article
- A recurrent neural circuit inbioRxiv : the preprint server for biology · 2024Article
- Neuronal "parts list" and wiring diagram for a visual system.bioRxiv : the preprint server for biology · 2024Article
- Finding the gap: neuromorphic motion-vision in dense environments.Nature communications · 2024Article
- An open platform for visual stimulation of insects.PloS one · 2024Article
- Neural mechanisms to incorporate visual counterevidence in self-movement estimation.Current biology : CB · 2023Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sensory systems need to reliably extract information from highly variable natural signals. Flies, for instance, use optic flow to guide their course and are remarkably adept at estimating image velocity regardless of image statistics. Current circuit models, however, cannot account for this robustness. Here, we demonstrate that the Drosophila visual system reduces input variability by rapidly adjusting its sensitivity to local contrast conditions. We exhaustively map functional properties of neurons in the motion detection circuit and find that local responses are compressed by surround contrast. The compressive signal is fast, integrates spatially, and derives from neural feedback. Training convolutional neural networks on estimating the velocity of natural stimuli shows that this dynamic signal compression can close the performance gap between model and organism. Overall, our work represents a comprehensive mechanistic account of how neural systems attain the robustness to carry out survival-critical tasks in challenging real-world environments.
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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.