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Peter L. Hurd
Researcher at University of Alberta
Publications - 104
Citations - 3655
Peter L. Hurd is an academic researcher from University of Alberta. The author has contributed to research in topics: Autism & Digit ratio. The author has an hindex of 33, co-authored 101 publications receiving 3361 citations. Previous affiliations of Peter L. Hurd include University of Texas at Austin & Stockholm University.
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Journal ArticleDOI
Finger length ratio (2D:4D) correlates with physical aggression in men but not in women.
Allison A. Bailey,Peter L. Hurd +1 more
TL;DR: The results are consistent with the hypothesis that testosterone has an organizational effect on adult physical aggression in men and women and no correlation between finger length ratio and any form of aggression in females is found.
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The evolution of cerebrotypes in birds.
Andrew N. Iwaniuk,Peter L. Hurd +1 more
TL;DR: The first demonstration of similar cerebrotypes in birds is presented, using principal component analysis and hierarchical clustering methods to analyze a data set of 67 species, and it is demonstrated that five main cerebrotype can be recognized.
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Exploration of a novel space is associated with individual differences in learning speed in black-capped chickadees, Poecile atricapillus
TL;DR: It is found that birds that readily enter a novel environment learn an acoustic discrimination task faster than birds that do not readily enterA novel environment.
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An evolutionary framework for studying mechanisms of social behavior
Hans A. Hofmann,Annaliese K. Beery,Daniel T. Blumstein,Iain D. Couzin,Ryan L. Earley,Loren D. Hayes,Peter L. Hurd,Eileen A. Lacey,Steven M. Phelps,Nancy G. Solomon,Michael Taborsky,Larry J. Young,Dustin R. Rubenstein +12 more
TL;DR: In this paper, an integrative conceptual framework is proposed to guide researchers towards a comprehensive understanding of the evolution and maintenance of mechanisms governing variation in sociality, which can be used as a basis for more integrative analyses of social behavior.
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Changing philosophies and tools for statistical inferences in behavioral ecology
László Zsolt Garamszegi,Sara Calhim,Ned A. Dochtermann,Gergely Hegyi,Peter L. Hurd,Christian Jorgensen,Nobuyuki Kutsukake,Marc J. Lajeunesse,Kimberly A. Pollard,Holger Schielzeth,Matthew R. E. Symonds,Shinichi Nakagawa +11 more
TL;DR: It is emphasized the necessity of moving away from a heavy reliance on statistical significance while focusing attention on biological relevance and effect sizes, with the recognition that uncertainty is an inherent feature of biological data.