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Neeltje J. Boogert

Researcher at University of Exeter

Publications -  82
Citations -  4367

Neeltje J. Boogert is an academic researcher from University of Exeter. The author has contributed to research in topics: Social learning & Cognition. The author has an hindex of 28, co-authored 73 publications receiving 3489 citations. Previous affiliations of Neeltje J. Boogert include McGill University & University of Oxford.

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The evolution of self-control

Evan L. MacLean, +58 more
TL;DR: It is suggested that increases in absolute brain size provided the biological foundation for evolutionary increases in self-control, and implicate species differences in feeding ecology as a potential selective pressure favoring these skills.
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Social Learning Strategies: Bridge-Building between Fields.

TL;DR: The SLS concept needs updating to accommodate recent findings that individuals switch between strategies flexibly, that multiple strategies are deployed simultaneously, and that there is no one-to-one correspondence between psychological heuristics deployed and resulting population-level patterns.
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Consistent individual differences drive collective behavior and group functioning of schooling fish

TL;DR: This study provides experimental and theoretical evidence for a simple mechanism to explain the emergence of collective behavior from consistent individual differences, including variation in the structure, leadership, movement dynamics, and functional capabilities of groups, across social and ecological scales.
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The relation between social rank, neophobia and individual learning in starlings

TL;DR: In this article, the authors investigated the relation between social rank, neophobia and learning ability of wild-caught starlings, Sturnus vulgaris, adopting a multidimensional approach to social rank and neophobia.
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Technical innovations drive the relationship between innovativeness and residual brain size in birds

TL;DR: It is found that families with larger brains had a greater repertoire of innovations, and that innovation diversity was a stronger predictor of residual brain size than was total number of innovations.