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The neuroscientists get a new tool, the 1400 terabyte model of human brains.


"Six layers of excitatory neurons color-coded by depth. Credit: Google Research and Lichtman Lab" (SciteechDaily, Harvard and Google Neuroscience Breakthrough: Intricately Detailed 1,400 Terabyte 3D Brain Map)


Harvard and Google created the first comprehensive model of human brains. The new computer model consists of 1400 terabytes of data. That thing would be the model. That consists comprehensive dataset about axons and their connections. And that model is the path to the new models or the human brain's digital twins. 

The digital twin of human brains can mean the AI-based digital model. That consists of data about the blood vessels and neural connections. However, the more advanced models can simulate electric and chemical interactions in the human brain. 

This project was impossible without AI. That can collect the dataset for that model. The human brain is one of the most complicated structures and interactions between neurotransmitters, axons, and the electrochemical interaction between neurons. Making a model of those interactions is an impressive achievement. 

The human brain's digital twin is a useful tool to research neural disorders and how to deal with that thing. The new comprehensive model of the human brain offers new tools for neurosurgeons in practice and simulations about the effect of certain operations and medical treatments, and the system can introduce what effect certain blood vessels have in the brain. 

The structure of the brain and neural connections make it possible that the brain never gets stuck. Even if one route is locked or stuck, brains can pass that point. And that means that even if we think of some problem, brains can still watch the environment. 

But the most interesting thing. That this system can make, is the artificial intelligence that acts like the human brain. The AI can create the needed number of databases and their connections. The modern AI can handle database structure with 200 billion connections. The number of human neurons is a little mystery because neurons can create virtual neurons using their connections. Those virtual neurons act like one neuron. And they can interact with their database. 

If researchers can model this system in the virtual entirety or software-based artificial intelligence on a large scale, that thing can create new types, of more effective AI. 


https://scitechdaily.com/harvard-and-google-neuroscience-breakthrough-intricately-detailed-1400-terabyte-3d-brain-map/


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