There are two versions of AI or Artificial intelligence.
*Software-based AI. That is the software that emulates some intelligent- or intelligent-looking actions.
*The Iron-based AI. That system is the physical system that learns things. Those iron-based AI systems are like brains. They are learning like the brain.
The organic version of those systems is the laboratory-grown neurons. That is connected to machines. The idea of iron-based AI is that there is no need for any kind of special software. The system is cognitive and it learns to be like the human brain.
Most modern AI solutions are algorithms. And that means they are software-based systems. But new knowledge of the brain. And especially neural interconnections are making it possible to create "iron-based" artificial intelligence.
The "iron-based" artificial intelligence is the system that we can describe as the "artificial brain". But the problem with the human brain is that the neurons have multiple connections. And the neural connections are making virtual neurons in the human brain.
There are four main types of neural connections in the human brain.
*Connections between individual neurons.
*Connections between neural groups and neural groups are the brain areas or brain districts. Each of those areas or neuron groups controls certain skills.
*And each connection has a counter connection. The purpose of counter-connection is to make sure that the cell group is made its action. So when the neurons in the brain are giving orders to the muscle cells the muscle cells send information back to the brain that they have done their job. We can say that all other skills than speech are neuromotor skills.
When a person learns something that means there is forming a memory unit in the brain where the required motions are stored. We can say that all skills. There are needed motorial functions are movement series. And memory stores those series of movements for re-use.
When we are thinking about neuromotor skills. All of those skills require three neurons and muscle cells. Those neurons are sensory neuron that brings data from the senses. Reactions to that kind of thing are stored in memory neurons. And finally, the neuron transmits the signal to the muscles.
If no memory block is suitable for certain situations, the brain must make that memory block for similar situations. The reason why the learning process is so complicated is that. When a person faces some kind of situation in the middle of the day brain must store that information in different places around the brain.
So in the daytime brain are busy. One purpose of sleep time is that brain is free from the stimulus. And during sleep the brain sort the memory blocks. During that process the brain sort similar memories in the same areas. And also neurons are exchanging information with each other.
https://scitechdaily.com/a-new-brain-model-could-pave-the-way-for-conscious-ai/
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