Home > Papers from 2015 > The emergence of habitual routes

The emergence of habitual routes

One of the interesting features of insect navigation systems is the way that innate guidance mechanisms (such as Path Integration or beacon aiming) interact with route learning. One such innate behaviour, which is essential in complex environments is obstacle avoidance, which is very rarely considered in accounts of route navigation. Bertrand et al. take a modelling approach, firstly looking at how a parsimonious model of obstacle avoidance can be built, but an interesting property of their testing is the emergence of habitual routes through clutter. Here is an extract from the author summary: “…. Inspired by the abilities of insects, we developed a parsimonious algorithm to avoid collisions in challenging environments solely based on elementary motion detectors. We coupled our algorithm to a goal direction and then tested it in cluttered environments. The trajectories resulting from this algorithm show interesting goal-directed behavior, such as the formation of a small number of routes, also observed in navigating insects.”
Bertrand, O. J., Lindemann, J. P., & Egelhaaf, M. (2015). A Bio-inspired Collision Avoidance Model Based on Spatial Information Derived from Motion Detectors Leads to Common Routes. PLoS Computational Biology, 11(11).
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Categories: Papers from 2015
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