ArticleFrontiers in neural circuits2012
Spatial vision in insects is facilitated by shaping the dynamics of visual input through behavioral action.
Article in Frontiers in neural circuits, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Article
- Contrast and luminance dependence of target choice and visual orientation in walking stick insects.Scientific reports · 2025Article
- Spatial and temporal characteristics of laboratory-inducediScience · 2024Article
- Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery.Sensors (Basel, Switzerland) · 2024Article
- FlyDetector-Automated Monitoring Platform for the Visual-Motor Coordination of Honeybees in a Dynamic Obstacle Scene Using Digital Paradigm.Sensors (Basel, Switzerland) · 2023Article
- Optic flow based spatial vision in insects.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Review
- The influence of stimulus history on directional coding in the monarch butterfly brain.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Article
- Visual antipredator effects of web flexing in an orb web spider, with special reference to web decorations.Die Naturwissenschaften · 2023Article
- Behavioral algorithms and neural mechanisms underlying odor-modulated locomotion in insects.The Journal of experimental biology · 2023Review
- Bumblebees display characteristics of active vision during robust obstacle avoidance flight.The Journal of experimental biology · 2022Article
- Ecological Entomology: How Is Gibson's Framework Useful?Insects · 2021Review
- Colour and motion affect a dune wasp's ability to detect its cryptic spider predators.Scientific reports · 2021Article
- Disentangling of Local and Wide-Field Motion Adaptation.Frontiers in neural circuits · 2021Article
- Approach Direction Prior to Landing Explains Patterns of Colour Learning in Bees.Frontiers in physiology · 2021Article
- Bumblebees perceive the spatial layout of their environment in relation to their body size and form to minimize inflight collisions.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The Critical Role of Head Movements for Spatial Representation During Bumblebees Learning Flight.Frontiers in behavioral neuroscience · 2020Article
- Analysing Head-Thorax Choreography During Free-Flights in Bumblebees.Frontiers in behavioral neuroscience · 2020Article
- Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR.PloS one · 2020Article
- Article
- Spatial Encoding of Translational Optic Flow in Planar Scenes by Elementary Motion Detector Arrays.Scientific reports · 2018Article
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Insects such as flies or bees, with their miniature brains, are able to control highly aerobatic flight maneuvres and to solve spatial vision tasks, such as avoiding collisions with obstacles, landing on objects, or even localizing a previously learnt inconspicuous goal on the basis of environmental cues. With regard to solving such spatial tasks, these insects still outperform man-made autonomous flying systems. To accomplish their extraordinary performance, flies and bees have been shown by their characteristic behavioral actions to actively shape the dynamics of the image flow on their eyes ("optic flow"). The neural processing of information about the spatial layout of the environment is greatly facilitated by segregating the rotational from the translational optic flow component through a saccadic flight and gaze strategy. This active vision strategy thus enables the nervous system to solve apparently complex spatial vision tasks in a particularly efficient and parsimonious way. The key idea of this review is that biological agents, such as flies or bees, acquire at least part of their strength as autonomous systems through active interactions with their environment and not by simply processing passively gained information about the world. These agent-environment interactions lead to adaptive behavior in surroundings of a wide range of complexity. Animals with even tiny brains, such as insects, are capable of performing extraordinarily well in their behavioral contexts by making optimal use of the closed action-perception loop. Model simulations and robotic implementations show that the smart biological mechanisms of motion computation and visually-guided flight control might be helpful to find technical solutions, for example, when designing micro air vehicles carrying a miniaturized, low-weight on-board processor.
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