Baluška František, Levin Michael
Department of Plant Cell Biology, IZMB, University of Bonn Bonn, Germany.
Biology Department, Tufts Center for Regenerative and Developmental Biology, Tufts University Medford, MA, USA.
Front Psychol. 2016 Jun 21;7:902. doi: 10.3389/fpsyg.2016.00902. eCollection 2016.
The central nervous system (CNS) underlies memory, perception, decision-making, and behavior in numerous organisms. However, neural networks have no monopoly on the signaling functions that implement these remarkable algorithms. It is often forgotten that neurons optimized cellular signaling modes that existed long before the CNS appeared during evolution, and were used by somatic cellular networks to orchestrate physiology, embryonic development, and behavior. Many of the key dynamics that enable information processing can, in fact, be implemented by different biological hardware. This is widely exploited by organisms throughout the tree of life. Here, we review data on memory, learning, and other aspects of cognition in a range of models, including single celled organisms, plants, and tissues in animal bodies. We discuss current knowledge of the molecular mechanisms at work in these systems, and suggest several hypotheses for future investigation. The study of cognitive processes implemented in aneural contexts is a fascinating, highly interdisciplinary topic that has many implications for evolution, cell biology, regenerative medicine, computer science, and synthetic bioengineering.
中枢神经系统(CNS)是众多生物体中记忆、感知、决策和行为的基础。然而,神经网络并非执行这些卓越算法的信号功能的唯一方式。人们常常忽略的是,神经元优化了细胞信号传导模式,这些模式早在进化过程中中枢神经系统出现之前就已存在,并被体细胞网络用于协调生理、胚胎发育和行为。事实上,许多实现信息处理的关键动态过程可以由不同的生物硬件来执行。这在整个生命之树上的生物体中都得到了广泛利用。在这里,我们回顾了一系列模型中关于记忆、学习和认知其他方面的数据,包括单细胞生物、植物和动物体内的组织。我们讨论了目前对这些系统中起作用的分子机制的了解,并提出了几个未来研究的假设。在无神经背景下实现的认知过程的研究是一个引人入胜、高度跨学科的主题,对进化、细胞生物学、再生医学、计算机科学和合成生物工程都有许多启示。