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Researchers are found math neurons in human brains. That thing gives new information on how and when the neurons are starting to specify. The discovery of the neurons that are specialized in mathematics is opening new paths for neurosciences. Because there are the math neurons there should be language neurons.
And maybe there are specialized neurons for every type of skill that people have. So there could be cooking neurons and social neurons that are controlling social activities in the neural network.
When researchers are finding when the separation of the neurons starts. That thing makes the revolution in the training and education. Learning new skills is rewiring brains. And if that process can be controlled by researchers, that brings the new and powerful educating tools to the hands of the educational processors.
That kind of research can serve the medical care of brain damages. There is a possibility that in the future. The person whose brain is injured. Can get the neural transplant. That thing can make by using the cloned neurons. But the problem is: How to transfer the skills, that people had to those neurons? Every single skill that a person has is stored in neurons.
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And that thing means that if a neuron is lost. The data includes skills that are stored in those neurons gone forever.
That is the thing that makes brain damage so hard to recover. Researchers can clone neurons. But the problem is how to recover skills and memories that are gone to the cloned neurons. Skills are memories like all other things.
The thing is that when we are expanding our understanding of brains and their function we are getting tools how to make more effective neural networks. And those things might consist the hybrid systems where the living neurons are connected with artificial intelligence and non-organic sensors.
We know why our brains are so effective. Brains are made of billions of neurons and that thing makes them effective. But the thing is that the brains are starting their data handling process same time in multiple locations in neural structure.
And that increases their effectiveness. When some neuron group is needed for some other mission, that group will store the thing in memory. And that allows that other neuron group will continue with that thing. The internal axon structure can transmit the data that is stored in memory to anywhere in the neural structure.
The new type of neural computers, networks, and deep-learning AI can use the data that is collected from the sensors. The deep-learning systems are following the success of the robots by using certain parameters. Those parameters can be simply how far a robot can operate without causing damages or getting damaged.
The fuzzy logic makes that kind of system "quite easy to make". At the first, the AI would operate by using a large number of actors. When some actor will make mistake the AI drops that thing away. If the AI would follow robots that system records how far a robot can travel or how long it can operate.
Then the parameter can be simple like this: (number of actions/time unit). The best result would be stored in the memory of AI. And then the AI would use mission records to find out where the mistake is made. If a robot falls into the canyon.
The AI would control those machines to drive farther from the canyon's edge. So the best result is the same thing that makes the AI select a certain route. And of course, if we want to connect the number of actions to the robot. That thing can be picking up the ground samples.
https://scitechdaily.com/brains-of-cosmonauts-rewired-during-space-missions/
https://scitechdaily.com/hiddenite-a-new-ai-processor-based-on-a-cutting-edge-neural-network-theory/
https://scitechdaily.com/specific-math-neurons-identified-in-the-brain/
Image 1:)https://scitechdaily.com/brains-of-cosmonauts-rewired-during-space-missions/
Image 2:)https://scitechdaily.com/specific-math-neurons-identified-in-the-brain/
https://thoughtandmachines.blogspot.com/
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