"If researchers want to make complex systems that handle data. They require full knowledge and interactions of the system. Without that knowledge, the system cannot sort, connect and handle information, as it should handle it. And if the system cannot control and sort the information, it's useless. " (ScitechDaily, How the Brain Masters Complexity Without Descending Into Chaos)
Another thing that the system should know is if something goes wrong. Error detection is one of the key things in computing systems. If the system cannot detect errors, that causes a situation, in which the system makes huge mistakes. And in those cases is better to leave things undone that make errors.
When new types of neural- and morphing neural networks handle information from multiple sources, they must deny chaos in the system. Chaos is like a rush that stops everything. And that is the thing that complex systems must avoid. One of the most complex systems in the world is the human brain.
Human brains connect and handle information that comes from sense and memory cells. During this process, the brain will connect those memories and data, that sensors send to the brain shell. When brains handle data they must keep many neurons, and connected neuron entireties called virtual neurons in order.
The knowledge of how brains sort data is useful in computing, but also in things like Post-Traumatic Stress Disorder (PTSD). PTSD means a situation where some traumatic case causes a situation in which the person cannot remember a thing. Today researchers have new and powerful sensors. Along with the AI that can scan brain internal structures.
Modern X-ray systems make it possible to see things that happen in sub-atomic structures. The same (or similar) systems can create models about things like axons and neuro-transmitter interactions.
And the most important thing in the new brain research is that modern sensors can detect things, that happen in living and fully operating brains. This ability makes this system able to increase knowledge of the brain functionalities.
The Quantum X-ray systems can create microscopic X-ray rays that last less than a microsecond opening new visions to neurons and their axon cooperation. The system can observe even axons and neurotransmitter molecules in human brains.
The AI created the neuron map in million neuron scale. This model can be used to simulate human brain activity. But if the system wants to be perfect, it must model brains on a single-neuron scale. And maybe quite soon, this accuracy is possible.
The knowledge of the systems and their interactions opens the route to creating new types of hybrid systems. Those hybrid systems interconnect living neurons and non-organic microchips. This thing can manage new and powerful computers. This ability makes it possible to return at least part of memories to damaged neural areas.
https://scitechdaily.com/how-the-brain-masters-complexity-without-descending-into-chaos/
https://scitechdaily.com/pushing-the-limits-of-neuroscience-barseq-is-mapping-the-brain-at-a-million-neuron-scale/
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