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The archerfish predictive C-start

Title data

Schuster, Stefan:
The archerfish predictive C-start.
In: The Journal of Comparative Physiology A. Vol. 209 (2023) Issue 5 . - pp. 827-837.
ISSN 1432-1351
DOI: https://doi.org/10.1007/s00359-023-01658-2

Official URL: Volltext

Abstract in another language

A very quick decision enables hunting archerfish to secure downed prey even when they are heavily outnumbered by competing other surface-feeding fish. Based exclusively on information that is taken briefly after the onset of prey motion, the fish select a rapid C-start that turns them right towards the later point of catch. Moreover, the C-start, and not later fin strokes, already lends the fish the speed needed to arrive at just the right time. The archerfish predictive C-starts are kinematically not distinguishable from escape C-starts made by the same individual and are among the fastest C-starts known in teleost fish. The start decisions allow the fish—for ballistically falling prey—to respond accurately to any combination of the initial variables of prey movement and for any position and orientation of the responding fish. The start decisions do not show a speed–accuracy tradeoff and their accuracy is buffered against substantial changes of environmental parameters. Here, I introduce key aspects of this high-speed decision that combines speed, complexity, and precision in an unusual way.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Decision-making; Neuroethology; C-start; Predator; Speed–accuracy
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Animal Physiology > Chair Animal Physiology - Univ.-Prof. Dr. Stefan Schuster
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Biology > Chair Animal Physiology
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 570 Life sciences, biology
500 Science > 590 Animals (Zoology)
Date Deposited: 16 Dec 2023 22:00
Last Modified: 18 Dec 2023 06:18
URI: https://eref.uni-bayreuth.de/id/eprint/88067