Fish couple forecasting with feedback control to chase and capture moving prey.
| Autor: | Martin BT; Department of Theoretical and Computational Ecology, University of Amsterdam, Science Park 904 , Amsterdam 1098 XH, The Netherlands., Sparks D; Department of Biology, The Whitney Laboratory for Marine Bioscience, University of Florida , Saint Augustine, FL 32080, USA., Hein AM; Department of Computational Biology, Cornell University, Weill Hall, 102, Tower Rd , Ithaca, NY 14850, USA., Liao JC; Department of Biology, The Whitney Laboratory for Marine Bioscience, University of Florida , Saint Augustine, FL 32080, USA. |
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| Jazyk: | angličtina |
| Zdroj: | Proceedings. Biological sciences [Proc Biol Sci] 2024 Sep; Vol. 291 (2031), pp. 20241463. Date of Electronic Publication: 2024 Sep 25. |
| DOI: | 10.1098/rspb.2024.1463 |
| Abstrakt: | Predator - prey interactions are fundamental to ecological and evolutionary dynamics. Yet, predicting the outcome of such interactions-whether predators intercept prey or fail to do so-remains a challenge. An emerging hypothesis holds that interception trajectories of diverse predator species can be described by simple feedback control laws that map sensory inputs to motor outputs. This form of feedback control is widely used in engineered systems but suffers from degraded performance in the presence of processing delays such as those found in biological brains. We tested whether delay-uncompensated feedback control could explain predator pursuit manoeuvres using a novel experimental system to present hunting fish with virtual targets that manoeuvred in ways that push the limits of this type of control. We found that predator behaviour cannot be explained by delay-uncompensated feedback control, but is instead consistent with a pursuit algorithm that combines short-term forecasting of self-motion and prey motion with feedback control. This model predicts both predator interception trajectories and whether predators capture or fail to capture prey on a trial-by-trial basis. Our results demonstrate how animals can combine short-term forecasting with feedback control to generate robust flexible behaviours in the face of significant processing delays. |
| Databáze: | MEDLINE |
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