  We compared the efficiency of the FlyHash model, an insect-inspired sparse
neural network (Dasgupta et al., 2017), to similar but non-sparse models in an
embodied navigation task. This requires a model to control steering by
comparing current visual inputs to memories stored along a training route. We
concluded the FlyHash model is more efficient than others, especially in terms
of data encoding.
