Search Results - "Lindemann, Jens P"

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  1. 1

    A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes by Bertrand, Olivier J N, Lindemann, Jens P, Egelhaaf, Martin

    Published in PLoS computational biology (01-11-2015)
    “…Avoiding collisions is one of the most basic needs of any mobile agent, both biological and technical, when searching around or aiming toward a goal. We…”
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    Journal Article
  2. 2

    Local motion adaptation enhances the representation of spatial structure at EMD arrays by Li, Jinglin, Lindemann, Jens P, Egelhaaf, Martin

    Published in PLoS computational biology (01-12-2017)
    “…Neuronal representation and extraction of spatial information are essential for behavioral control. For flying insects, a plausible way to gain spatial…”
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    Journal Article
  3. 3

    Spatial vision in insects is facilitated by shaping the dynamics of visual input through behavioral action by Egelhaaf, Martin, Boeddeker, Norbert, Kern, Roland, Kurtz, Rafael, Lindemann, Jens P

    Published in Frontiers in neural circuits (2012)
    “…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…”
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    Journal Article
  4. 4

    Head orientation of walking blowflies is controlled by visual and mechanical cues by Monteagudo, José, Lindemann, Jens P, Egelhaaf, Martin

    Published in Journal of experimental biology (15-12-2017)
    “…During locomotion, animals employ visual and mechanical cues in order to establish the orientation of their head, which reflects the orientation of the visual…”
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    Journal Article
  5. 5

    Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis by Schwegmann, Alexander, Lindemann, Jens P, Egelhaaf, Martin

    Published in Frontiers in computational neuroscience (01-08-2014)
    “…Knowing the depth structure of the environment is crucial for moving animals in many behavioral contexts, such as collision avoidance, targeting objects, or…”
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    Journal Article
  6. 6

    Peripheral Processing Facilitates Optic Flow-Based Depth Perception by Li, Jinglin, Lindemann, Jens P, Egelhaaf, Martin

    Published in Frontiers in computational neuroscience (21-10-2016)
    “…Flying insects, such as flies or bees, rely on consistent information regarding the depth structure of the environment when performing their flight maneuvers…”
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    Journal Article
  7. 7

    Texture dependence of motion sensing and free flight behavior in blowflies by Lindemann, Jens P, Egelhaaf, Martin

    Published in Frontiers in behavioral neuroscience (11-01-2013)
    “…MANY FLYING INSECTS EXHIBIT AN ACTIVE FLIGHT AND GAZE STRATEGY: purely translational flight segments alternate with quick turns called saccades. To generate…”
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  8. 8

    A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes: e1004339 by Bertrand, Olivier JN, Lindemann, Jens P, Egelhaaf, Martin

    Published in PLoS computational biology (01-11-2015)
    “…Avoiding collisions is one of the most basic needs of any mobile agent, both biological and technical, when searching around or aiming toward a goal. We…”
    Get full text
    Journal Article