UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

Gaussian processes for prediction of homing pigeon flight trajectories

Mann, R; Osborne, M; Garnett, R; Roberts, S; Freeman, R; Armstrong, C; Biro, D; (2009) Gaussian processes for prediction of homing pigeon flight trajectories. In: AIP Conference Proceedings. (pp. 360 - 367).

Full text not available from this repository.

Abstract

We construct and apply a stochastic Gaussian Process (GP) model of flight trajectory generation for pigeons trained to home from specific release sites. The model shows increasing predictive power as the birds become familiar with the sites, mirroring the animal's learning process. We show how the increasing similarity between successive flight trajectories can be used to infer, with increasing accuracy, an idealised route that captures the repeated spatial aspects of the bird's flight. We subsequently use techniques associated with reduced-rank GP approximations to objectively identify the key waypoints used by each bird to memorise its idiosyncratic habitual route between the release site and the home loft. © 2009 American Institute of Physics.

Type: Proceedings paper
Title: Gaussian processes for prediction of homing pigeon flight trajectories
DOI: 10.1063/1.3275635
UCL classification: UCL > School of BEAMS > Faculty of Maths and Physical Sciences > CoMPLEX - Maths and Physics in the Life Sciences and Experimental Biology
URI: http://discovery.ucl.ac.uk/id/eprint/1338158
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item