How smart was T. rex? Testing claims of exceptional cognition in dinosaurs and the application of neuron count estimates in palaeontological research

Kai R. Caspar, Cristián Gutiérrez‐Ibáñez, Ornella C. Bertrand, Thomas Carr, Jennifer A. D. Colbourne, Arthur Erb, Hady George, Thomas R. Holtz, Darren Naish, Douglas R. Wylie, Grant R. Hurlburt
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Abstract

Recent years have seen increasing scientific interest in whether neuron counts can act as correlates of diverse biological phenomena. Lately, Herculano‐Houzel (2023) argued that fossil endocasts and comparative neurological data from extant sauropsids allow to reconstruct telencephalic neuron counts in Mesozoic dinosaurs and pterosaurs, which might act as proxies for behaviors and life history traits in these animals. According to this analysis, large theropods such as Tyrannosaurus rex were long‐lived, exceptionally intelligent animals equipped with “macaque‐ or baboon‐like cognition”, whereas sauropods and most ornithischian dinosaurs would have displayed significantly smaller brains and an ectothermic physiology. Besides challenging established views on Mesozoic dinosaur biology, these claims raise questions on whether neuron count estimates could benefit research on fossil animals in general. Here, we address these findings by revisiting Herculano‐Houzel's (2023) work, identifying several crucial shortcomings regarding analysis and interpretation. We present revised estimates of encephalization and telencephalic neuron counts in dinosaurs, which we derive from phylogenetically informed modeling and an amended dataset of endocranial measurements. For large‐bodied theropods in particular, we recover significantly lower neuron counts than previously proposed. Furthermore, we review the suitability of neurological variables such as neuron numbers and relative brain size to predict cognitive complexity, metabolic rate and life history traits in dinosaurs, coming to the conclusion that they are flawed proxies for these biological phenomena. Instead of relying on such neurological estimates when reconstructing Mesozoic dinosaur biology, we argue that integrative studies are needed to approach this complex subject.
霸王龙有多聪明?检验关于恐龙具有超常认知能力的说法以及神经元数量估计在古生物学研究中的应用
近年来,科学界对神经元数量能否作为各种生物现象的相关因素越来越感兴趣。最近,Herculano-Houzel(2023 年)认为,通过化石内铸件和现生猿类的比较神经学数据,可以重建中生代恐龙和翼龙的端脑神经元数量,这可能是这些动物行为和生活史特征的替代物。根据这项分析,霸王龙等大型兽脚类恐龙是长寿、异常聪明的动物,具有 "猕猴或狒狒般的认知能力",而蜥脚类恐龙和大多数鸟臀目恐龙的大脑要小得多,而且属于外温生理。除了对中生代恐龙生物学的既有观点提出挑战之外,这些说法还提出了一个问题,即神经元数量的估计是否有利于对一般动物化石的研究。在此,我们通过重新审视赫尔库拉诺-胡泽尔(2023 年)的研究工作,找出了分析和解释方面的几个关键缺陷,从而解决这些发现。我们提出了恐龙脑化和端脑神经元数量的修正估计值,这些估计值来自系统发育模型和修正后的颅内测量数据集。特别是对于大体型兽脚类恐龙,我们发现它们的神经元数量比以前提出的低得多。此外,我们还回顾了神经元数量和大脑相对大小等神经变量是否适合预测恐龙的认知复杂性、新陈代谢率和生活史特征,得出的结论是这些神经变量是这些生物现象的错误代用指标。我们认为,在重建中生代恐龙生物学时,不应该依赖这些神经学估算,而是需要综合研究来处理这个复杂的课题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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