Functional differences between the extraordinary eyes of deep-sea hyperiid amphipods.
Jessop A-L. et al, (2024), Proc Biol Sci, 291
Combining Unity with machine vision to create low latency, flexible and simple virtual realities
Ogawa Y. et al, (2024), Methods in Ecology and Evolution
Contrast sensitivity, visual acuity and the effect of behavioural state on optokinetic gain in fiddler crabs.
Perez M. et al, (2023), J Exp Biol, 226
Fiddler crabs are unique in timing their escape responses based on speed-dependent visual cues.
Donohue CG. et al, (2022), Curr Biol, 32, 5159 - 5164.e4
A new computational model illuminates the extraordinary eyes of Phronima.
Bagheri ZM. et al, (2022), PLoS Comput Biol, 18
Behavioural and neural responses of crabs show evidence for selective attention in predator avoidance.
Bagheri ZM. et al, (2022), Sci Rep, 12
Photoreceptors and diurnal variation in spectral sensitivity in the fiddler crab Gelasimus dampieri.
Jessop A-L. et al, (2020), J Exp Biol, 223
Evidence of predictive selective attention in fiddler crabs during escape in the natural environment.
Bagheri ZM. et al, (2020), J Exp Biol, 223
A new method for mapping spatial resolution in compound eyes suggests two visual streaks in fiddler crabs.
Bagheri ZM. et al, (2020), J Exp Biol, 223
An autonomous robot inspired by insect neurophysiology pursues moving features in natural environments.
Bagheri ZM. et al, (2017), J Neural Eng, 14
Performance of an insect-inspired target tracker in natural conditions
Bagheri ZM. et al, (2017), Bioinspiration and Biomimetics, 12
Properties of neuronal facilitation that improve target tracking in natural pursuit simulations
Bagheri ZM. et al, (2015), Journal of the Royal Society Interface, 12
A biologically inspired facilitation mechanism enhances the detection and pursuit of targets of varying contrast
Bagheri ZM. et al, (2015), 2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014
Robustness and real-time performance of an insect inspired target tracking algorithm under natural conditions
Bagheri Z. et al, (2015), Proceedings - 2015 IEEE Symposium Series on Computational Intelligence, SSCI 2015, 97 - 102
Performance assessment of an insect-inspired target tracking model in background clutter
Bagheri Z. et al, (2014), 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014, 822 - 826