Zahra Bagheri, Phd

Affiliations: 
2013-2016 Mechanical Engineering The University of Adelaide (Australia) 
 2107- Biological sciences The University of Western Australa 
Area:
NeuroEngineering, vision, bio-inspired robotics, neuroscience
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"Zahra Bagheri"
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Parents

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Benjamin Cazzolato grad student 2013-2016
David Charles O'Carroll grad student 2013-2016
Steven D. Wiederman grad student 2013-2016
Jan Michael Hemmi post-doc 2017- School of Biological Sciences
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Publications

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Jessop AL, Bagheri ZM, Partridge JC, et al. (2024) Functional differences between the extraordinary eyes of deep-sea hyperiid amphipods. Proceedings. Biological Sciences. 291: 20240239
Perez M, Bagheri ZM, Brown C, et al. (2023) Contrast sensitivity, visual acuity, and the effect of behavioural state on optokinetic gain in fiddler crabs. The Journal of Experimental Biology
Donohue CG, Bagheri ZM, Partridge JC, et al. (2022) Fiddler crabs are unique in timing their escape responses based on speed-dependent visual cues. Current Biology : Cb
Bagheri ZM, Jessop AL, Partridge JC, et al. (2022) A new computational model illuminates the extraordinary eyes of Phronima. Plos Computational Biology. 18: e1010545
Bagheri ZM, Donohue CG, Partridge JC, et al. (2022) Behavioural and neural responses of crabs show evidence for selective attention in predator avoidance. Scientific Reports. 12: 10022
Bagheri ZM, Donohue CG, Hemmi JM. (2020) Evidence of predictive selective attention in fiddler crabs during escape in the natural environment. The Journal of Experimental Biology. 223
Jessop AL, Ogawa Y, Bagheri ZM, et al. (2020) Photoreceptors and diurnal variation in spectral sensitivity in the fiddler crab . The Journal of Experimental Biology
Bagheri ZM, Jessop AL, Kato S, et al. (2019) A new method for mapping spatial resolution in compound eyes suggests two visual streaks in fiddler crabs. The Journal of Experimental Biology
Bagheri ZM, Cazzolato BS, Grainger S, et al. (2017) An autonomous robot inspired by insect neurophysiology pursues moving features in natural environments. Journal of Neural Engineering. 14: 046030
Bagheri ZM, Wiederman S, Cazzolato B, et al. (2017) Performance of an insect-inspired target tracker in natural conditions. Bioinspiration & Biomimetics
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