The neural network in the human brain is similar to the network of galaxies in the universe

The human brain is made up of a large number of neurons that are interconnected in a very complicated way. On the other hand, the universe is the very basis of all life and includes several billion galaxies. And now scientists have found a striking similarity between the two.

Astrophysicist Franco Vazza from the University of Bologna and neuroscientist Alberto Feletti from the University of Verona, Italy, have discovered that the complex network of neurons in the brain strangely resembles the cosmic network of galaxies. Although incomparable in size, our brains and the universe display similar types of organization and complexity.

Two scientists believe that the complex network of neurons in the brain strangely resembles the cosmic network of galaxies.

The two researchers gave their arguments in an article published in the newspaper Frontiers of physics. They studied the “structural, morphological, network properties and memory capacity of these two fascinating systems, with a quantitative approach”. The ‘enticing’ results show that the two complex systems demonstrate a self-organization that is likely shaped by ‘similar principles of network dynamics, despite radically different scales and processes in Game».

The brain has around 69 billion neurons while the observable universe can rely on a cosmic network of at least 100 billion galaxies. Aside from the apparent image of the human brain and the universe resembling each other in terms of neural network and galaxies, neurons and galaxies make up only 30% of the total mass of their respective systems. While water makes up about 70% of our brain’s mass, only 30% of the universe is visible and the rest is dark matter.

The researchers calculated the spectral density of the two systems. The results showed that the distribution of fluctuation in the two systems followed the same progression but at different levels, Franco Vazza said in a Press release. They also calculated the average number of connections in each node and the tendency to aggregate 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 neural network and the interior of a neural body”.

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