单细胞生物和活细胞的感知、感觉和知觉。

IF 2 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2024-11-17 DOI:10.1016/j.biosystems.2024.105374
F. Baluška , W.B. Miller , P. Slijepcevic , A.S. Reber
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引用次数: 0

摘要

细胞是生命的基本单位,不仅是结构构件,也是具有细胞主观感受、知觉(意识)和认知信息计算能力的认知主体。活细胞是一个 "康德式整体":它的所有部分都是为了整个系统而存在,并通过整个系统而存在,从而使细胞能够利用感知机构来解决存在的问题,并作为有生命的自组织单元而进化。细胞的感知力基于其可兴奋的质膜产生的生物电磁场,该电磁场与整个细胞的感官结构相联系。这种细胞感官装置被称为 "感官体"(senome),代表了细胞通过感官系统获得的全部细胞自我参照信息,包括细胞内部的主观信息和细胞对外部环境的自我参照评价。质膜是最早的细胞 "发明 "的,数十亿年来,细胞通过连续的细胞分裂不间断地继承了质膜。
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Sensing, feeling and sentience in unicellular organisms and living cells
Cells represent the basic units of life, not only as structural building blocks, but also as cognitive agents endowed with subjective cellular feelings, sentience (consciousness), and cognitive infocomputatioal competence. Living cells act as ‘Kantian Wholes’: All of its parts exist for and by means of the whole system, allowing cells to use sentient agency for solving existential problems and evolve as living self-organizing units. Cell sentience is based on its excitable plasma membrane generating bioelectromagnetic fields that link to a whole-cell sensory architecture. This cellular sensory apparatus, termed its senome, represents the totality of cellular self-referential information obtained by cells via their sensory systems, including the subjective cellular inside and the cell’s self-referential appraisal of its external environment. The plasma membrane was ‘invented’ by the very first cells and has been uninterruptedly inherited by cells for billions of years through successive cell divisions.
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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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