Visual learning in drosophila: application on a roving robot and comparisons
2011
Visual learning is an important aspect of fly life. Flies are able to extract visual cues from objects, like colors,
vertical and horizontal distributedness, and others, that can be used for learning to associate a meaning to
specific features (i.e. a reward or a punishment). Interesting biological experiments show trained stationary
flying flies avoiding flying towards specific visual objects, appearing on the surrounding environment. Wild-type
flies effectively learn to avoid those objects but this is not the case for the learning mutant rutabaga defective in
the cyclic AMP dependent pathway for plasticity. A bio-inspired architecture has been proposed to model the
fly behavior and experiments on roving robots were performed. Statistical comparisons have been considered
and mutant-like effect on the model has been also investigated.
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