认知生理机制的重大转变。

IF 1.9 4区 生物学 Q2 BIOLOGY
Breno B. Just , Sávio Torres de Farias
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引用次数: 0

摘要

认知是指生物体与外界相互作用和理解的过程,是存在于所有细胞生命中的基本生物学功能。与任何生物过程一样,认知能力及其潜在机制在不同物种之间差异很大。进化塑造了认知,在某些谱系中导致了越来越复杂的形式。进化转变的概念是由梅纳德-史密斯和萨特玛丽提出的,描述了生物组织中的主要转变。2021年,Ginsburg & Jablonka和2023年,Barron及其合作者探索了神经系统内的认知转变,但神经生物的认知进化仍未得到充分研究。在先前框架的基础上,我们分析了神经领域的认知转变,重点关注负责认知的生理机制。第一个转变是认知机制在原核细胞中的出现(细胞认知),随后在真核细胞中复杂化(复杂细胞认知)。第三个转变标志着基于多细胞的认知(多细胞认知)。第四阶段是神经元和弥漫性神经系统(分散的神经认知)的发展,然后是神经系统的集中(大脑认知)。第六种转变涉及先进的大脑结构,使复杂的认知(复杂的大脑认知)。最后的过渡是以符号和文化为支撑的人类认知的出现(文化-语言认知)。这个层次结构框架抓住了在进化过渡过程中认知机制日益增加的复杂性。通过结合神经认知,我们对自然界中认知系统的多样性提供了更全面的看法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Major transitions in the physiological machinery of cognition
Cognition refers to the processes organisms use to interact with and understand their world, a fundamental biological function present in all cellular life. As with any biological process, cognitive capacity and its underlying mechanisms vary widely across species. Evolution has shaped cognition, leading to increasingly complex forms in certain lineages. The concept of evolutionary transitions, introduced by Maynard-Smith and Szathmary, describes major shifts in biological organization. In 2021, Ginsburg & Jablonka, and in 2023, Barron and collaborators explored cognitive transitions within neural systems, the evolution of cognition in aneural organisms remains understudied. Building on prior frameworks, we analyze cognitive transitions in the aneural realm, focusing on the physiological machinery responsible for cognition. The first transition is the emergence of cognitive machinery in prokaryotic cells (cellular cognition), followed by its complexification in eukaryotes (complex cellular cognition). The third transition marks cognition based on multiple cells (multicellular-based cognition). The fourth is the development of neurons and a diffuse nervous system (decentralized neural cognition), followed by its centralization (brain cognition). The sixth transition involves advanced brain architectures enabling complex cognition (complex brain cognition). The final transition is the emergence of human cognition, supported by symbols and culture (cultural-linguistic cognition). This hierarchical framework captures the increasing complexity of cognitive machinery across evolutionary transitions. By incorporating aneural cognition, we provide a more comprehensive view of the diversity of cognitive systems in nature.
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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