The complete map of the insect brain reveals 3,016 neurons

a The map is complete The brain of an insect was discovered by scientists and It has 3016 neurons. Through these neurons, the team of researchers from the United States was able to classify 93 different speciesWhich differ in their shape, proposed function, and the way they communicate with other neurons. The map is called a neural network It took 12 years It must be done through careful work.

The brain is one Fruit fly larva And between neurons there 548,000 synapses or contact points. The team of researchers reported in the journal Scienceson March 9, which identified the networks through which it was made nervous cellsOne side of the brain sends data to the other side.

According to Live Science, for Building a neural network More help was needed 80 people. Scholars cut The brain of a fly larva in 5000 sections And I took out every slice Microscopic images. These researchers put these images together for Three-dimensional volume formation And through the studies identified individual cells inside and manually trace its wires.

This study is the first of its kind Map the entire central brain from an insect and thus characterize all synaptic pathways of all neurons,” he said Nuno Macarico da Costa that it Casey Schneider Mizellmembers of the Neural Coding Group at the Allen Institute for Brain Science to Live Science in a joint email.

You Scientists stayed Amazed at the map For various reasons such as axon-to-axon connections, dendrites to axonal dendrites and dendrites, which account for about one-third of the synapses in the larval fly brain, according to Michael Windingfirst author of the study and research associate in the Department of Zoology at the University of Cambridge, according to the source.

Another reason was the fact that the neural network was surprisingly “shallow,” meaning that sensory information received passed through very few neurons before it was passed on to those involved in motor control, which could instruct the fly to perform a physical behaviour. For this he needs the brain “abbreviations” which is embedded between the little circles Similar to the latest artificial intelligence systems.

future developments

Although the neural network You have the limitation From not capturing excitatory and inhibitory neurons, however, it is an important method future progresssuch as the most efficient AI systems in terms of energy He is A better understanding of how humans learnsecond Joshua Vogelsteindirector and co-founder of the NeuroData Lab at Johns Hopkins University.