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神经系统和神经元的微型化。

Miniaturization of nervous systems and neurons.

机构信息

School of Life Sciences, University of Sussex, Falmer, Brighton BN1 9QG, UK.

出版信息

Curr Biol. 2012 May 8;22(9):R323-9. doi: 10.1016/j.cub.2012.04.002. Epub 2012 May 7.

Abstract

Miniaturized species have evolved in many animal lineages, including insects and vertebrates. Consequently, their nervous systems are constrained to fit within tiny volumes. These miniaturized nervous systems face two major challenges for information processing: noise and energy consumption. Fewer or smaller neurons with fewer molecular components will increase noise, affecting information processing and transmission. Smaller, more densely-packed neural processes will increase the density of energy consumption whilst reducing the space available for mitochondria, which supply energy. Although miniaturized nervous systems benefit from smaller distances between neurons, thus saving time, space and energy, they have also increased the space available for neural processing by expanding and contorting their nervous systems to fill any available space, sometimes at the expense of other structures. Other adaptations, such as multifunctional neurons or matched filters, may further alleviate the pressures on space within miniaturized nervous systems. Despite these adaptations, we argue that limitations on information processing are likely to affect the behaviour generated by miniaturized nervous systems.

摘要

小型化物种在许多动物谱系中进化,包括昆虫和脊椎动物。因此,它们的神经系统必须适应在微小的体积内工作。这些小型化的神经系统在信息处理方面面临着两个主要挑战:噪声和能量消耗。神经元数量减少或体积更小,分子成分更少,会增加噪声,影响信息的处理和传输。较小、更密集的神经过程会增加能量消耗的密度,同时减少为供应能量的线粒体提供的空间。尽管小型化的神经系统受益于神经元之间的距离更小,从而节省了时间、空间和能量,但它们也通过扩展和扭曲神经系统来填充任何可用空间,从而增加了神经处理的空间,有时这是以牺牲其他结构为代价的。其他适应,如多功能神经元或匹配滤波器,可能会进一步减轻小型化神经系统内空间压力。尽管有这些适应,但我们认为,信息处理的限制可能会影响小型化神经系统产生的行为。

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