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265 Publikationen

2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2777762
Strübbe S, Stürzl W, Egelhaaf M (2015)
Insect-Inspired Self-Motion Estimation with Dense Flow Fields-An Adaptive Matched Filter Approach.
PLoS ONE 10(8): e0128413.
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2786491
Bertrand O, Lindemann JP, Egelhaaf M (2015)
A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes.
PLoS Computational Biology 11(11): e1004339.
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2015 | Datenpublikation | PUB-ID: 2757868
Bertrand O, Lindemann JP, Egelhaaf M (2015) : A bio-inspired collision avoidance model leads to common routes. Bielefeld University. doi:10.4119/unibi/2757868.
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2015 | Datenpublikation | PUB-ID: 2736885
Strübbe S, Stürzl W, Egelhaaf M (2015) : Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University. doi:10.4119/unibi/2736885.
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2756809
Lüders J, Kurtz R (2015)
Octopaminergic modulation of temporal frequency tuning of a fly visual motion-sensitive neuron depends on adaptation level.
Frontiers in Integrative Neuroscience 9: 36.
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757259
Milde MB, Bertrand O, Benosman R, Egelhaaf M, Chicca E (2015)
Bioinspired event-driven collision avoidance algorithm based on optic flow.
In: 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). IEEE.
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2713252
Ullrich TW, Kern R, Egelhaaf M (2015)
Influence of environmental information in natural scenes and the effects of motion adaptation on a fly motion-sensitive neuron during simulated flight.
Biology Open 4(1): 13-21.
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2014 | Datenpublikation | PUB-ID: 2689637
Meyer HG, Schwegmann A, Lindemann JP, Egelhaaf M (2014) : Panoramic high dynamic range images in diverse environments. Bielefeld University. doi:10.4119/unibi/2689637.
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2014 | Datenpublikation | PUB-ID: 2689483
Schwegmann A, Lindemann JP, Egelhaaf M (2014) : Translational sequences of panoramic high dynamic range images in natural environments. Bielefeld University. doi:10.4119/unibi/2689483.
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2014 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2694962
Schwegmann A, Lindemann JP, Egelhaaf M (2014)
Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis.
Frontiers in Computational Neuroscience 8: 83.
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