Zahra Bagheri
Postdoctoral Researcher
I have a Bachelor and a Master degree in Engineering. As an engineer, I am fascinated how biological system has developed simple and efficient solutions that can be applied to real world applications.
My research focuses on the neural mechanisms that underlie vision and visual behaviour and modelling them for engineering applications.
I use different techniques such as behavioural experiments, neural recordings and computational modelling to understand how the eye and brain process visual information. I previously worked on visual system of insects and crustaceans. Currently, my research is focused on human vision.
Recent publications
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Combining Unity with machine vision to create low latency, flexible, and simple virtual realities
Preprint
Ogawa Y. et al, (2024)
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Contrast sensitivity, visual acuity and the effect of behavioural state on optokinetic gain in fiddler crabs.
Journal article
Perez M. et al, (2023), J Exp Biol, 226
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Fiddler crabs are unique in timing their escape responses based on speed-dependent visual cues.
Journal article
Donohue CG. et al, (2022), Curr Biol, 32, 5159 - 5164.e4
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A new computational model illuminates the extraordinary eyes of Phronima.
Journal article
Bagheri ZM. et al, (2022), PLoS Comput Biol, 18
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Behavioural and neural responses of crabs show evidence for selective attention in predator avoidance.
Journal article
Bagheri ZM. et al, (2022), Sci Rep, 12