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Mimicking fly motion tracking and fixation behaviors with a hybrid visual neural network
2017
2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)
How do animals like insects perceive meaningful visual motion cues involving directional and locational information of moving objects in visual clutter accurately and efficiently? In this paper, with respect to latest biological research progress made in underlying motion detection circuitry in the fly's preliminary visual system, we conduct a novel hybrid visual neural network, combining the functionality of two bioplausible, namely the motion and the position pathways, for mimicking motion
doi:10.1109/robio.2017.8324652
dblp:conf/robio/FuY17
fatcat:texm7nkr5rea3ksylwahdk4bkm