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FP trend20 November 2020 09:43:14
The human brain is made up of a large number of neurons which are interconnected in a very complicated way. On the other hand, the universe is the basis of all life and includes several billion galaxies. And now scientists have found a striking similarity between the two.
University of Bologna astrophysicist Franco Vazza and University of Verona neuroscientist Alberto Feletti found that the complex network of neurons in the brain looks eerily similar to the cosmic network of galaxies. Despite being incomparable in size, our brains and the universe exhibit similar types of organization and complexity.
Two scientists believe that the complex network of neurons in the brain is eerily similar to the cosmic network of galaxies.
The two researchers provided their arguments in an article published in the magazine Borders in physics. They studied the “structural, morphological, network properties and memory capacity of these two fascinating systems, with a quantitative approach”. The “tempting” results show that both complex systems demonstrate self-organization that is likely shaped by “similar principles of network dynamics, despite the radically different scales and processes at play”.
The brain has about 69 billion neurons while the observable universe can count on a cosmic network of at least 100 billion galaxies. Aside from the apparent picture of the human brain and the universe looking similar in terms of neural network and galaxies, both neurons and galaxies make up only 30 percent of the total mass of their respective systems. While water makes up about 70% of the mass of our brains, only 30% of the universe is visible and the rest is dark matter.
The researchers calculated the spectral density of both systems. The results showed that the fluctuation distribution in both systems followed the same progression but on different levels, Franco Vazza said in a Press release. They also calculated the average number of connections in each node and the tendency to group multiple connections into relevant central nodes within the network and again found “unexpected levels of agreement”.
Alberto Feletti added that these two complex networks showed “more similarities than those shared between the cosmic network and a galaxy or a neuronal network and the interior of a neuronal body”.
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