Faculty of Life Sciences, The University of Manchester, Manchester M13 9PT, U.K.
ASN Neuro. 2009 Dec 8;1(5):e00023. doi: 10.1042/AN20090049.
How does the brain process incoming information and produce thoughts? These questions represent, to all likelihood, the most challenging matters ever faced by natural sciences, matters which may never be fully comprehended. The evolution of the nervous system that, in about billion of years, brought into existence the human brain progressed through an ever-increasing complexity of neural networks. This evolution began from the diffuse nervous system, in which primordial neurons were able to sense the environmental inputs and convey them to effector organs and to the neighbouring neurons. At the next evolutionary stage the conglomerates of neuronal cell bodies, the ganglia, appeared, thus forming the primitive centralized nervous system. The developments which ensued went through a continuous increase in complexity of neuronal conglomerates, which eventually formed the central nervous system, which attained maximal perfection in mammals. In this issue of ASN NEURO, Osborne et al. have described details of real-time imaging of cannabinoid receptor trafficking in astrocytes, a technique that will help to elucidate the role of these receptors in the ever-increasing complex neural networks.
大脑如何处理传入的信息并产生思维?这些问题很可能代表了自然科学迄今为止面临的最具挑战性的问题,这些问题可能永远无法完全理解。神经系统的进化在大约十亿年的时间里创造了人类大脑,其神经网络的复杂性不断增加。这种进化始于弥散的神经系统,其中原始神经元能够感知环境输入,并将其传递到效应器官和相邻神经元。在下一个进化阶段,神经元细胞体的聚集体,神经节,出现了,从而形成了原始的中枢神经系统。随后的发展经历了神经元聚集体复杂性的持续增加,最终形成了中枢神经系统,在哺乳动物中达到了最完美的状态。在本期 ASN NEURO 中,Osborne 等人描述了实时成像大麻素受体在星形胶质细胞中的转运的细节,这项技术将有助于阐明这些受体在不断增加的复杂神经网络中的作用。