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Proceedings Paper

Visual learning in drosophila: application on a roving robot and comparisons
Author(s): P. Arena; S. De Fiore; L. Patané; P. S. Termini; R. Strauss
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Paper Abstract

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.

Paper Details

Date Published: 3 May 2011
PDF: 8 pages
Proc. SPIE 8068, Bioelectronics, Biomedical, and Bioinspired Systems V; and Nanotechnology V, 806809 (3 May 2011); doi: 10.1117/12.886738
Show Author Affiliations
P. Arena, Univ. degli Studi di Catania (Italy)
S. De Fiore, Univ. degli Studi di Catania (Italy)
L. Patané, Univ. degli Studi di Catania (Italy)
P. S. Termini, Univ. degli Studi di Catania (Italy)
R. Strauss, Univ. of Mainz (Germany)

Published in SPIE Proceedings Vol. 8068:
Bioelectronics, Biomedical, and Bioinspired Systems V; and Nanotechnology V
Ángel B. Rodríguez-Vázquez; Rainer Adelung, Editor(s)

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