ArticlePLoS computational biology2021
Maximally efficient prediction in the early fly visual system may support evasive flight maneuvers.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 37 citations in OpenAlex.
- Bilateral interactions of optic-flow sensitive neurons coordinate course control in flies.Nature communications · 2024Article
- Optimization in Visual Motion Estimation.Annual review of vision science · 2024Review
- The neuron as a direct data-driven controller.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Contiguity in perception: origins in cellular associative computations.Trends in neurosciences · 2024Review
- Exact and Soft Successive Refinement of the Information Bottleneck.Entropy (Basel, Switzerland) · 2023Article
- Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality.Advances in neural information processing systems · 2022Article
- Gaussian Information Bottleneck and the Non-Perturbative Renormalization Group.New journal of physics · 2022Article
- Efficient Temporal Coding in the Early Visual System: Existing Evidence and Future Directions.Frontiers in computational neuroscience · 2022Review
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
Abstract
The visual system must make predictions to compensate for inherent delays in its processing. Yet little is known, mechanistically, about how prediction aids natural behaviors. Here, we show that despite a 20-30ms intrinsic processing delay, the vertical motion sensitive (VS) network of the blowfly achieves maximally efficient prediction. This prediction enables the fly to fine-tune its complex, yet brief, evasive flight maneuvers according to its initial ego-rotation at the time of detection of the visual threat. Combining a rich database of behavioral recordings with detailed compartmental modeling of the VS network, we further show that the VS network has axonal gap junctions that are critical for optimal prediction. During evasive maneuvers, a VS subpopulation that directly innervates the neck motor center can convey predictive information about the fly's future ego-rotation, potentially crucial for ongoing flight control. These results suggest a novel sensory-motor pathway that links sensory prediction to behavior.
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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.