Motion sensitive visual neural networks, from animals to robots

Animals, as small as insects, have amazing ability in exploring within this dynamic visual world. This ability has not been demonstrated in, or easy to implement to, human made intelligent moving machines such as robots. By modelling bio-plausible neural networks, we can not only contribute to the further understanding of how animals visual systems or particular visual neurons work, but also step forward in developing new intelligent vision systems fit for future robots. In this talk, I will introduce the most recent modelling work in my group on modelling specific visual neurons in insects with specific preference to motion, such as LGMD and DSNs. At the end of the talk, I would also touch upon recent progresses in swarm robots in my group.