跨动物门类大脑和认知进化的多特征体现框架。

IF 19.3 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Sheryl Coombs, Michael Trestman
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引用次数: 0

摘要

在非人类动物中,乌鸦、章鱼和蜜蜂以其复杂的大脑和认知能力而闻名。将视角从这些典范动物的特异能力扩大到整个系统发育谱系中的动物,开始揭示复杂大脑和认知能力最初在不同类群中产生的古老进化过程。17 个类群中 35 种表型特征的分布显示,只有三个类群(脊椎动物、头足类软体动物和裸足类动物)的大脑和认知复杂性可归因于身体、感觉、大脑和运动特征在主动视觉感知和视觉运动技能中发挥的关键作用。这些关键性特征共同使动物的行为从被动反应过渡到更加主动,从缓慢的二维运动过渡到更加快速和复杂的三维运动。在这些关键特征中,高分辨率眼睛和大脑层状视觉区域最为突出,因为它们将大脑的处理需求和计算能力提高了几个数量级。认知复杂性(CC)类群中关键特征的独立获得可以解释为在进化史上完成了几个多特征的转变,每一个转变都导致了复杂性水平的不断提高,而复杂性水平的提高则源于特征的独特组合。在CC类群中,枢纽性状的组合代表了复杂性的最高水平,而在许多非CC类群中,较低水平的组合性状则是其特征,这表明在CC类群和非CC类群的进化过程中,某些身体、感觉和大脑性状可能是相互关联的(性状关联假说)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-trait embodied framework for the evolution of brains and cognition across animal phyla.

Among non-human animals, crows, octopuses and honeybees are well-known for their complex brains and cognitive abilities. Widening the lens from the idiosyncratic abilities of exemplars like these to those of animals across the phylogenetic spectrum begins to reveal the ancient evolutionary process by which complex brains and cognition first arose in different lineages. The distribution of 35 phenotypic traits in 17 metazoan lineages reveals that brain and cognitive complexity in only three lineages (vertebrates, cephalopod mollusks, and euarthropods) can be attributed to the pivotal role played by body, sensory, brain and motor traits in active visual sensing and visuomotor skills. Together, these pivotal traits enabled animals to transition from largely reactive to more proactive behaviors, and from slow and two-dimensional motion to more rapid and complex three-dimensional motion. Among pivotal traits, high-resolution eyes and laminated visual regions of the brain stand out because they increased the processing demands on and the computational power of the brain by several orders of magnitude. The independent acquisition of pivotal traits in cognitively complex (CC) lineages can be explained as the completion of several multi-trait transitions over the course of evolutionary history, each resulting in an increasing level of complexity that arises from a distinct combination of traits. Whereas combined pivotal traits represent the highest level of complexity in CC lineages, combined traits at lower levels characterize many non-CC lineages, suggesting that certain body, sensory and brain traits may have been linked (the trait-linkage hypothesis) during the evolution of both CC and non-CC lineages.

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来源期刊
ACS Energy Letters
ACS Energy Letters Energy-Renewable Energy, Sustainability and the Environment
CiteScore
31.20
自引率
5.00%
发文量
469
审稿时长
1 months
期刊介绍: ACS Energy Letters is a monthly journal that publishes papers reporting new scientific advances in energy research. The journal focuses on topics that are of interest to scientists working in the fundamental and applied sciences. Rapid publication is a central criterion for acceptance, and the journal is known for its quick publication times, with an average of 4-6 weeks from submission to web publication in As Soon As Publishable format. ACS Energy Letters is ranked as the number one journal in the Web of Science Electrochemistry category. It also ranks within the top 10 journals for Physical Chemistry, Energy & Fuels, and Nanoscience & Nanotechnology. The journal offers several types of articles, including Letters, Energy Express, Perspectives, Reviews, Editorials, Viewpoints and Energy Focus. Additionally, authors have the option to submit videos that summarize or support the information presented in a Perspective or Review article, which can be highlighted on the journal's website. ACS Energy Letters is abstracted and indexed in Chemical Abstracts Service/SciFinder, EBSCO-summon, PubMed, Web of Science, Scopus and Portico.
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