ReviewAnnual review of neuroscience2011
Collision detection as a model for sensory-motor integration.
Review in Annual review of neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
65 citing papers in PubMed, 164 citations in OpenAlex.
- Dynamic trajectory cues drive sequenced integration in approach detectors.bioRxiv : the preprint server for biology · 2026Article
- Drosophila DNp03 descending neurons serve as a hub within a flight saccade network.Current biology : CB · 2026Article
- Article
- Theta-nested gamma oscillations balance prediction and vigilance in spatial navigation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Analysis of collision avoidance in honeybee flight.Journal of the Royal Society, Interface · 2024Article
- Anisotropic interaction and motion states of locusts in a hopper band.Proceedings. Biological sciences · 2024Article
- An Angular Acceleration Based Looming Detector for Moving UAVs.Biomimetics (Basel, Switzerland) · 2024Article
- Convergent escape behaviour from distinct visual processing of impending collision in fish and grasshoppers.The Journal of physiology · 2023Article
- FlyDetector-Automated Monitoring Platform for the Visual-Motor Coordination of Honeybees in a Dynamic Obstacle Scene Using Digital Paradigm.Sensors (Basel, Switzerland) · 2023Article
- Neural Circuit Mechanisms Involved in Animals' Detection of and Response to Visual Threats.Neuroscience bulletin · 2023Review
- Approaching object acceleration differentially affects the predictions of neuronal collision avoidance models.Biological cybernetics · 2023Article
- Neural circuits underlying habituation of visually evoked escape behaviors in larval zebrafish.eLife · 2023Article
- Visual processing and collective motion-related decision-making in desert locusts.Proceedings. Biological sciences · 2023Article
- Article
- Behavioural and neural responses of crabs show evidence for selective attention in predator avoidance.Scientific reports · 2022Article
- Bumblebees display characteristics of active vision during robust obstacle avoidance flight.The Journal of experimental biology · 2022Article
- Can we use antipredator behavior theory to predict wildlife responses to high-speed vehicles?PloS one · 2022Article
- Flexible inhibitory control of visually evoked defensive behavior by the ventral lateral geniculate nucleus.Neuron · 2021Article
- Article
- Robustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic.Frontiers in robotics and AI · 2021Article
5 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Visually guided collision avoidance is critical for the survival of many animals. The execution of successful collision-avoidance behaviors requires accurate processing of approaching threats by the visual system and signaling of threat characteristics to motor circuits to execute appropriate motor programs in a timely manner. Consequently, visually guided collision avoidance offers an excellent model with which to study the neural mechanisms of sensory-motor integration in the context of a natural behavior. Neurons that selectively respond to approaching threats and brain areas processing them have been characterized across many species. In locusts in particular, the underlying sensory and motor processes have been analyzed in great detail: These animals possess an identified neuron, called the LGMD, that responds selectively to approaching threats and conveys that information through a second identified neuron, the DCMD, to motor centers, generating escape jumps. A combination of behavioral and in vivo electrophysiological experiments has unraveled many of the cellular and network mechanisms underlying this behavior.
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What OpenQuestion holds
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.