An international research team has succeeded in mapping nearly 548,000 connections from 3,016 neurons in the brain of a mosquito larva. This made it the most detailed brain map science has ever made.

About 12 years ago, British, American and German researchers worked together to produce the largest and most complex map yet showing all the neural connections in the brain of a mosquito larva. the ScienceAlert According to his report, the work has been completed, making it the first complete map of an insect’s brain. Previously, Google’s algorithm was able to map a third of a mouse’s brain in two years and 100,000 working hours.

According to the researchers, although the brain is much less complex than the human brain, 548,000 connections between 3,016 neurons still have to be mapped. The group identifies the different types of nerve cells and their pathways, as well as the connection between the brain and the ventral nerve. Experts say this brings us closer to understanding how the movement of signals from neuron to neuron leads to different patterns of behavior and learning.

According to Joshua T. Vogelstein, a bioengineer at Johns Hopkins University in the United States, if we want to understand who we are and how we think, we must also understand the mechanism of thinking. The map we just made can bring us closer to this.

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The team scanned thousands of slices of the insect’s brain, then added the results to the information they had already collected.

Thanks to this, it was possible to identify not only neurons located in both hemispheres, but also those that connect both hemispheres of the brain. This allows an in-depth study of brain interactions. The results of their research a Sciences Published in a journal.

Although technology has improved a lot in recent years, it is still not advanced enough to map the brain of an organism larger than a fly. muslica is an excellent choice from this point of view, because its compact brain is easy to study, and it also has many biological similarities to humans.

The researchers also found during the study that some specific functions worked in a similar way to some of the computer networks used in machine learning.

Now the specialists plan to examine the brain of the worshipers while they are moving and active, in order to find out what kind of activity is taking place on which neural pathways.

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