RT Conference Proceedings
T1 Roving Robots Gain from an Orientation Algorithm of Fruit Flies and Predict a Fly-Decision Making Algorithm
A1 Strauss, Roland
A1 Flethe, Sussan
A1 Villacorta Atienza, José Antonio
A1 Makarov Slizneva, Valeriy
A1 García Velarde, Manuel
A1 Patane, Luca
A1 Arena, Paolo
A2 Duff, Armin
A2 Lepora, Nathan
A2 Mura, Anna
A2 Prescott, Tony
A2 Verschure, Paul
AB Simple organisms like bacteria are directly influenced by momentary changes in concentration or strength of sensory signals. In noisy sensory gradients frequent zigzagging reduces the performance of the cell or organism. Drosophila melanogaster flies significantly deviate from a direct response to sensory input when orienting in gradients. A dynamical model has been derived which reproduces fly behaviour. Here we report on an emergent property of the model. Implemented in a robot, the algorithm is sustaining decisions between visual targets. The behaviour was consequently found in wild-type flies, which stay with a once-chosen visual target for considerable longer times than mutant flies with a specific brain defect. This allowed the localisation of the integrator. Flies were tested in a virtual-reality arena with two alternatingly visible target objects under different visibility regimes. The finding exemplifies how basic research and technical application can mutually benefit from close collaboration.
SN 978-3-319-09435-9 (online)
SN 978-3-319-09434-2 (print)
SN 1611-3349
YR 2014
FD 2014
LK https://hdl.handle.net/20.500.14352/97354
UL https://hdl.handle.net/20.500.14352/97354
LA eng
NO Strauss, R. et al. (2014). Roving Robots Gain from an Orientation Algorithm of Fruit Flies and Predict a Fly Decision-Making Algorithm. In: Duff, A., Lepora, N.F., Mura, A., Prescott, T.J., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2014. Lecture Notes in Computer Science(), vol 8608. Springer, Cham. https://doi.org/10.1007/978-3-319-09435-9_53
DS Docta Complutense
RD 10 abr 2025