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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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Publisher copy:
10.1098/rspb.2022.1220

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
ORCID:
0000-0002-3340-3741
More by this author
Division:
MPLS
Department:
Biology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
ORCID:
0000-0001-6449-7296
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Oxford college:
St John's College
Role:
Author


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:
1471-2954
ISSN:
0962-8452


Language:
English
Keywords:
Pubs id:
1279858
Local pid:
pubs:1279858
Deposit date:
2022-09-26
ARK identifier:

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