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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. doi:10.1371/journal.pone.0128413
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2786491
Bertrand, O., Lindemann, J. P., & 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. doi:10.1371/journal.pcbi.1004339
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2015 | Datenpublikation | PUB-ID: 2757868
Bertrand, O., Lindemann, J. P., & 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. doi:10.3389/fnint.2015.00036
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2015 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2757259
Milde, M. B., Bertrand, O., Benosman, R., Egelhaaf, M., & Chicca, E. (2015). Bioinspired event-driven collision avoidance algorithm based on optic flow. 2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP) IEEE. doi:10.1109/EBCCSP.2015.7300673
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2015 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2713252
Ullrich, T. W., 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. doi:10.1242/bio.20149449
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2014 | Datenpublikation | PUB-ID: 2689637
Meyer, H. G., Schwegmann, A., Lindemann, J. P., & 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, J. P., & 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, J. P., & 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. doi:10.3389/fncom.2014.00083
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