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Brain size does not predict learning strategies in a serial reversal learning test
Stockholm University, Faculty of Science, Department of Zoology.
Stockholm University, Faculty of Science, Department of Zoology.
Stockholm University, Faculty of Science, Department of Zoology.
Stockholm University, Faculty of Science, Department of Zoology. Wageningen University, The Netherlands.
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Number of Authors: 52020 (English)In: Journal of Experimental Biology, ISSN 0022-0949, E-ISSN 1477-9145, Vol. 223, no 15, article id jeb224741Article in journal (Refereed) Published
Abstract [en]

Reversal learning assays are commonly used across a wide range of taxa to investigate associative learning and behavioural flexibility. In serial reversal learning, the reward contingency in a binary discrimination is reversed multiple times. Performance during serial reversal learning varies greatly at the interspecific level, as some animals adopt a rule-based strategy that enables them to switch quickly between reward contingencies. A larger relative brain size, generating enhanced learning ability and increased behavioural flexibility, has been proposed to be an important factor underlying this variation. Here, we experimentally tested this hypothesis at the intraspecific level. We used guppies (Poecilia reticulata) artificially selected for small and large relative brain size, with matching differences in neuron number, in a serial reversal learning assay. We tested 96 individuals over 10 serial reversals and found that learning performance and memory were predicted by brain size, whereas differences in efficient learning strategies were not. We conclude that variation in brain size and neuron number is important for variation in learning performance and memory, but these differences are not great enough to cause the larger differences in efficient learning strategies observed at higher taxonomic levels.

Place, publisher, year, edition, pages
2020. Vol. 223, no 15, article id jeb224741
Keywords [en]
Cognitive ability, Behavioural flexibility, Memory
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:su:diva-187706DOI: 10.1242/jeb.224741ISI: 000576694000032PubMedID: 32561630OAI: oai:DiVA.org:su-187706DiVA, id: diva2:1510968
Available from: 2020-12-17 Created: 2020-12-17 Last updated: 2024-08-16Bibliographically approved
In thesis
1. Brain morphology, cognition and collective behaviour in the guppy (Poecilia reticulata)
Open this publication in new window or tab >>Brain morphology, cognition and collective behaviour in the guppy (Poecilia reticulata)
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The striking variation in brain morphology across the animal kingdom and the link to behaviour has fascinated scientists for centuries. Several factors coexist and interact during the evolution of brain morphology. Together with the complexity of brain function and morphology, evolutionary biologists have been challenged when seeking to identify general principles of how and why brains evolve. Extensive comparative research has identified patterns and formed hypotheses on the link between brain morphology and behaviour. Artificial selection on various aspects of brain morphology can complement comparative research and test such hypotheses on the relationship between brain morphology and behaviour.

In this thesis, I used an experimental approach to investigate two aspects of rapid changes in brain morphology and how such changes are linked to behaviour. The specific aims were to (i) examine the relationship between relative brain size and cognitive abilities, and (ii) brain region size and collective behaviours. First, we tested several aspects of learning in guppies artificially selected on relative brain size. We found that brain size improves cognitive abilities, but that cognitive divergence is mostly quantitative at the intraspecific level (paper 1). We also examined the effect of brain size on cognitive ageing. We found that while more fundamental aspects of cognitive abilities were maintained throughout the ecologically relevant lifespan in guppies, behavioural flexibility declined faster in large brain size selected guppies (paper II). Second, we assessed collective motion and collective decision-making in guppy shoals artificially selected for small or large telencephalon size. We found no effect of telencephalon size on collective motion when exploring an open arena (paper III). However, collective decision-making to avoid a model predator was faster in large telencephalon size selected guppy shoals (paper IV). This result suggests rapid mosaic changes in brain region size may be an important mechanism behind social behavioural variation with strong fitness implications. Taken together, this thesis strengthens the theory that increased investment in brain tissue can improve advanced cognitive abilities. While more fundamental cognitive abilities are unaffected by changes in brain morphology. It also indicates that mosaic brain evolution can be a highly cost-efficient driver of cognitive divergence.

Place, publisher, year, edition, pages
Stockholm: Department of Zoology, Stockholm University, 2024. p. 37
Keywords
brain evolution, learning, ageing, decision-making, predation, shoaling dynamics
National Category
Evolutionary Biology
Research subject
Ethology
Identifiers
urn:nbn:se:su:diva-232437 (URN)978-91-8014-889-4 (ISBN)978-91-8014-890-0 (ISBN)
Public defence
2024-10-25, Vivi Täckholmsalen (Q-salen), NPQ-huset, Svante Arrhenius väg 20, Stockholm, 13:00 (English)
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Available from: 2024-10-02 Created: 2024-08-16 Last updated: 2024-10-08Bibliographically approved

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Boussard, AnnikaBuechel, Séverine D.Amcoff, MirjamKotrschal, AlexanderKolm, Niclas

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