Chips, worms and gray matter: More similar than you think

Scientists have discovered "striking similarities" between human brains, the nervous system of the nematode worm Caenorhabditis elegans and computer chips.

The team of neuroscientists and computer experts from the UK, US and Germany compared the way these systems are organised and found that the same networking principles underlie all three.

Using data for the large part already in the public domain, including data from human brains, a map of the nematode's and a standard computer chip, they examined how the elements in each system are networked together.

They found that all three shared two basic properties. Firstly, the human brain, the nematode's nervous system and the computer chip all have a Russian doll-like architecture, with the same patterns repeating over and over again at different scales.

Secondly all three show what is known as Rentian scaling - a rule used to describe the relationship between the number of elements in a given area and the number of links between them.

According to Edward Bullmore, Professor of Psychiatry at the University of Cambridge and one of the study's authors: "These striking similarities can probably be explained because they represent the most efficient way of wiring a in a confined physical space - be that a 3-dimensional human brain or a 2-dimentional computer chip."

"Humans, worms and probably share these properties because all three evolved under then same selection pressures - either in the case of the human and the worm, or commercial selection pressures in the case of the computer chip."

As well as deepening our understanding of how the human brain has evolved, the experiment shows that we can learn important lessons about our own evolution by studying the way in which technology has developed, and by looking to very simple organisms like the nematode.

"This challenges the commonly-held belief that the human is special. In fact, it actually has much in common with simple organisms such as the worm and with other animal species," says Professor Bullmore.

The paper is published today in PLoS Computational Biology.

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More information: Efficient physical embedding of topologically complex information processing networks in brains and computer circuits by Danielle S. Bassett, Daniel L. Green, Andreas Meyer-Lindenberg, Daniel R.Weinberger, Simon W. Moore and Edward T. Bullmore is published in PLoS Computational Biology on 22 April 2010.
Citation: Chips, worms and gray matter: More similar than you think (2010, April 22) retrieved 17 June 2019 from
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User comments

Apr 23, 2010
This one is easy, all 3 systems were intelligently designed. The words, "Evolve", or "Evolution" do not belong in this article.

Apr 24, 2010
This one is easy, all 3 systems were intelligently designed. The words, "Evolve", or "Evolution" do not belong in this article.

Both nematode brain and computer chip is driven by the same concept that drove evolution. This is because;
1. For nematode; all possible combination of inefficient genetic design is eliminated due to natural selection.
2. But, for computer chip; the design work follows this poetic example of a true detective work: "eliminated the impossible, whatever remains, however improbable, must be the truth"
- concept of "elimination", and "possible combination" exist in 'evolution', 'programming', and any design work.

The problem with 'intelligent design' is that; it was associated with a very close minded perception of 'design'. This is because the proponent of 'intelligent design' desire NOT to incorporate any real-event/concept into their idea. -'intelligent design' proponent MUST incorporate evolution into their thinking to be more truthful.

May 01, 2010
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