Mechanical Computation in Neurons
Mechanical Computation in Neurons
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DOI：
10.1002/dneu.20733
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发表时间：
2009-09-01
影响因子：
3
通讯作者：
Torre, Vincent
中科院分区：
文献类型：
--
作者：
Laishram, Jummi;Avossa, Daniela;Torre, Vincent
生长锥是位于神经突尖端的主要运动结构，由片状伪足组成，片状伪足从中出现。在本文中，我们分析了生长锥的动力学和动力学，旨在了解两个主要问题：第一，丝状伪足和片状伪足在探索和导航过程中所使用的策略；第二，神经元在运作过程中需要解决什么样的机械问题。在发育中的神经系统和成人大脑中，神经元不断需要解决机械问题。生长锥必须决定如何探索环境以及向哪个方向生长；他们还需要建立适当的联系，以避免障碍并确定施加多大的力量。在这里，我们表明，在稀疏的培养物中，丝状伪足遵循统计模式生长和收缩，这对于有效探索环境来说几乎是最佳的。在密集的文化中，丝状伪足探索仍然存在，尽管显着减少。分别对DRG、PC12和海马神经元的1271、6432和185对丝状伪足进行分析表明，超过50%的丝状伪足对生长的相关系数竖条rho竖条>0.15。从计算的角度来看，丝状伪足和片状伪足的运动可以通过随机过程来描述，其中错误通过有效的反馈循环进行纠正。本文认为，神经元不仅处理感觉信号，而且还解决从胚胎发生早期到成年的整个生命周期中的机械问题。 (C) 2009 Wiley periodicals, Inc. 开发 Neurobiol 69：731-751，2009。
Growth cones are the main motile structures located at the tip of neurites and are composed of a lamellipodium from which thin filopodia emerge. In this article, we analyzed the kinetics and dynamics of growth cones with the aim to understand two major issues: first, the strategy used by filopodia and lamellipodia during their exploration and navigation; second, what kind of mechanical problems neurons need to solve during their operation. In the developing nervous system and in the adult brain, neurons constantly need to solve mechanical problems. Growth cones must decide how to explore the environment and in which direction to grow; they also need to establish the appropriate contacts, to avoid obstacles and to determine how much force to exert. Here, we show that in sparse cultures, filopodia grow and retract following statistical patterns, nearly optimal for an efficient exploration of the environment. In a dense culture, filopodia exploration is still present although significantly reduced. Analysis on 1271, 6432, and 185 pairs of filopodia of DRG, PC12 and Hippocampal neurons respectively showed that the correlation coefficient vertical bar rho vertical bar of the growth of more than 50% of filopodia pairs was >0.15. From a computational point of view, filopodia and lamellipodia motion can be described by a random process in which errors are corrected by efficient feedback loops. This article argues that neurons not only process sensory signals, but also solve mechanical problems throughout their entire lifespan, from the early stages of embryogenesis to adulthood. (C) 2009 Wiley Periodicals, Inc. Develop Neurobiol 69: 731-751,2009.