Vision-based route following by an embodied insect-inspired sparse neural network

Barbara Webb; Lu Yihe; Rana Alkhoury Maroun

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Vision-based route following by an embodied insect-inspired sparse neural network

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arxiv 2303.08109 v2 pith:4TVICSX6 submitted 2023-03-14 cs.NE cs.LGcs.RO

Lu Yihe , Rana Alkhoury Maroun , Barbara Webb This is my paper · ORCID

classification cs.NEcs.LGcs.RO

keywords modelembodiedflyhashinsect-inspirednetworkneuralroutesparse

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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.

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