What can brain researchers learn from computer engineers and vice versa?

D. Chklovskii
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Abstract

The human brain is a network containing a hundred billion neurons, each communicating with several thousand others. As the wiring for neuronal communication draws on limited space and energy resources, evolution had to optimize their use. This principle of minimizing wiring costs, similar to that in computer design, explains many features of brain architecture, including placement and shape of many neurons. However, the shape of some neurons and their synaptic properties remained unexplained. This led us to the principle of maximization of brain's ability to store information. Combination of the two principles provides a systematic view of brain architecture, necessary to explain brain function. It would be interesting to see whether advances in understanding brain function will make impact on computer design.
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大脑研究者能从计算机工程师那里学到什么,反之亦然?
人类的大脑是一个包含一千亿个神经元的网络,每个神经元与其他几千个神经元相互交流。由于神经元通信的线路占用有限的空间和能量资源,进化必须优化它们的使用。这种最小化布线成本的原则,类似于计算机设计中的原则,解释了大脑结构的许多特征,包括许多神经元的位置和形状。然而,一些神经元的形状和它们的突触特性仍然无法解释。这让我们想到了最大化大脑存储信息能力的原则。这两个原理的结合提供了一个系统的大脑结构视图,这是解释大脑功能所必需的。了解大脑功能的进步是否会对计算机设计产生影响,这将是一件有趣的事情。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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