Human brain structure is the target of Internet Evolution

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Author: Liu Feng (this article belongs to the author's original work and is copyrighted by Liu Feng. For reprinted references, please indicate the source and author Liu Feng)

 

For people with a non-neurological knowledge background, there may be two interesting phenomena in the human brain that may not be quite familiar with. The first phenomenon is that the structure of the human brain is not ancient, it evolved from the brain of fish to the brain of crawling animals, then to the brain of mammals, and finally to the human brain. If we dissect the human brain, we can see species of fish and crawlers clearly. The structure of mammals is distinct in the human brain (refer to 1 ).

 

The second phenomenon is that when a human develops from a fertilized egg into an unusually complex brain structure, there is a tissue called a target cell, without human conscious intervention, hundreds of millions of brain cells develop sequentially toward target cells along complex but precise paths. Even the most experienced architects are amazed at the subtle control of the power of nature (refer to 2 ).

 

Internet evolution, which originated from WITKEY theory, points out that, from IPv4 to IPv6, telephone lines to optical fiber, functional separation of bulletin board, and the rise of search engines, the emergence of cloud computing is still the merger of Internet websites. On the surface, it is a result driven by economic interests. However, there are indications that an invisible hand is pushing the Internet towards a mature human brain structure, this Invisible Hand is exactly the same as the hand that drives the development of the fertilized eggs. It is the embodiment of the power of natural evolution. The human brain is the target and target of Internet evolution.

 

 

 

In the evolution of the internet, we clearly pointed out that the Internet is still in the early stages of virtual brain development. Some readers may wonder if it is possible to use a very imperfect early Internet structure and a complicated structure, there are still many secrets that cannot be solved by the human brain for comparison? This is a very interesting question. By comparing the characteristics of the two models, we will be surprised to find that nature gives us a clever logical order to uncover their secrets at the same time.

Internet virtual brain human brain

Evolution time: 50 years or so (1969 --) hundreds of millions of years

Abnormal evolution speed, fast, abnormal, and slow

Development degree sprout and early mature

The observation scale is very large, which is convenient and precise, and difficult to observe in vivo

I am very familiar with the knowledge, but I am not familiar with it.

 

Through the comparison above, we can draw the following conclusion: in scientific research, the Internet virtual brain and the human brain are very complementary. Through comparative research, we will be able to understand the characteristics of both sides in the next few decades. With the human brain structure we know, we can predict the next development trend of the Internet. (Note that it is not a plan). As time passes, due to the rapid evolution of the Internet, we can compare and discover more and more secrets of the human brain, we can now assert that there must be address encoding systems and search engine systems in the human brain. These systems have not been proposed and discovered by neuroscientists, and we hope to see their progress in this area.

 

The structure of the human brain is the outcome of the development of the Internet, not a science fiction novel. What is different from the US hacker empire, Skynet fantasy is that we use a lot of observation and rational derivation along the existing development trajectory of the Internet. This inference will have a significant impact on system science, ergonomics, knowledge management, neurology, life sciences, and theoretical physics.

 

Reference 1) John. C, Eccles [Australia], Pan Yi translation, brain evolution, Shanghai Century Publishing Group, 2007

Reference 2) edited by Xu Ke, outline of neuroscience, Science Press, 2000

 

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