Journal article
Distance estimation in the Goldfish (Carassius auratus)
- Abstract:
- Neurophysiological advances have given us exciting insights into the systems responsible for spatial mapping in mammals. However, we are still lacking information on the evolution of these systems and whether the underlying mechanisms identified are universal across phyla, or specific to the species studied. Here we address these questions by exploring whether a species that is evolutionarily distant from mammals can perform a task central to mammalian spatial mapping – distance estimation. We developed a behavioural paradigm allowing us to test whether goldfish (Carassius auratus) can estimate distance and explored the behavioural mechanisms that underpin this ability. Fish were trained to swim a set distance within a narrow tank covered with a striped pattern. After changing the background pattern, we found that goldfish use the spatial frequency of their visual environment to estimate distance; doubling the spatial frequency of the background pattern resulted in a large overestimation of the swimming distance. We present robust evidence that goldfish can accurately estimate distance, and show that they use local optic flow to do so. These results provide a compelling basis to utilise goldfish as a model system to interrogate the evolution of the mechanisms that underpin spatial cognition, from brain to behaviour.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.0MB, Terms of use)
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- Publisher copy:
- 10.1098/rspb.2022.1220
Authors
- Publisher:
- The Royal Society
- Journal:
- Proceedings of the Royal Society B: Biological Sciences More from this journal
- Volume:
- 289
- Article number:
- 20221220
- Publication date:
- 2022-10-12
- Acceptance date:
- 2022-09-22
- DOI:
- EISSN:
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1471-2954
- ISSN:
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0962-8452
- Language:
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English
- Keywords:
- Pubs id:
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1279858
- Local pid:
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pubs:1279858
- Deposit date:
-
2022-09-26
- ARK identifier:
Terms of use
- Copyright holder:
- Sibeaux et al
- Copyright date:
- 2022
- Rights statement:
- © 2022 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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