Conference item
Gaussian Processes for Prediction of Homing Pigeon Flight Trajectories
- 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 su...
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- Publication status:
- Published
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- Publisher copy:
- 10.1063/1.3275635
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Bibliographic Details
- Volume:
- 1193
- Pages:
- 360-367
- Host title:
- BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING
- Publication date:
- 2009-01-01
- DOI:
- EISSN:
-
1551-7616
- ISSN:
-
0094-243X
- Source identifiers:
-
210373
- ISBN:
- 9780735407299
Item Description
- Keywords:
- Pubs id:
-
pubs:210373
- UUID:
-
uuid:68e921a9-c825-49e0-b347-91e512b7847d
- Local pid:
- pubs:210373
- Deposit date:
- 2012-12-19
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- Copyright date:
- 2009
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