JOURNAL ARTICLE

Theropod dinosaurs had primate‐like numbers of telencephalic neurons.

  • Published In: Journal of Comparative Neurology, 2023, v. 531, n. 9. P. 962 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Herculano‐Houzel, Suzana 3 of 3

Abstract

Understanding the neuronal composition of the brains of dinosaurs and other fossil amniotes would offer fundamental insight into their behavioral and cognitive capabilities, but brain tissue is only rarely fossilized. However, when the bony brain case is preserved, the volume and therefore mass of the brain can be estimated with computer tomography; and if the scaling relationship between brain mass and numbers of neurons for the clade is known, that relationship can be applied to estimate the neuronal composition of the brain. Using a recently published database of numbers of neurons in the telencephalon of extant sauropsids (birds, squamates, and testudines), here I show that the neuronal scaling rules that apply to these animals can be used to infer the numbers of neurons that composed the telencephalon of dinosaur, pterosaur, and other fossil sauropsid species. The key to inferring numbers of telencephalic neurons in these species is first using the relationship between their estimated brain and body mass to determine whether bird‐like (endothermic) or squamate‐like (ectothermic) rules apply to each fossil sauropsid species. This procedure shows that the notion of "mesothermy" in dinosaurs is an artifact due to the mixing of animals with bird‐like and squamate‐like scaling, and indicates that theropods such as Tyrannosaurus and Allosaurus were endotherms with baboon‐ and monkey‐like numbers of telencephalic neurons, respectively, which would make these animals not only giant but also long‐lived and endowed with flexible cognition, and thus even more magnificent predators than previously thought. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Comparative Neurology. 2023/06, Vol. 531, Issue 9, p962
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2023
  • ISSN:0021-9967
  • DOI:10.1002/cne.25453
  • Accession Number:163111882
  • Copyright Statement:Copyright of Journal of Comparative Neurology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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