Researchers found interesting things in brains.

Researchers found new interesting details in human brains. First, our brains transmit light. And that light gives an interesting idea: could brains also have optical and photon-based ways to transmit data between neurons? And if neurons have that ability, how effective and versatile it is. We know that there are no unnecessary things in our brains. So that means the light in our brains must have something to do with neurons. But do neurons use that way to transmit complicated information or is it meant only for cleaning neuro-channels? 

That interesting light causes the question: does that effect have some connection to light that people see when they visit near death? When we think about death the neuro channels will empty from neurotransmitters and electric phenomena. That means our nerves are more receptive to those signals than usual. So could that light have some kind of interaction between neurons or axons? Is there some point in neurons that reacts to that ultra-weak photon emission, UPE? 

Does our own neural activity cover that light below it? There is an observation that dead organisms shine dimmer light than alive. And maybe that light turns dimmer when the creature closes to death. There is an article in the Journal of Physical Chemistry Letters, “Imaging Ultraweak Photon Emission from Living and Dead Mice and from Plants under Stress” that introduces ultra-weak photon emission from dead mice and plants turn dimmer. 

And the question is this: can humans see that ultra-weak photon emission and its changes subliminally? The article says that all living organisms shine weak light that disappears when a creature dies. Also, things like mammals shine IR-radiation but the main question is can the ultraweak photon emission, UPE happen on purpose, or is it some kind of leak? And can humans see that phenomenon but that observation cannot reach our consequence? 

There are two things that self-learning systems must do to become effective. Effectiveness means that the AI or human brains should ignore irrelevant information. If that thing doesn’t happen, it grows databases and data mass in the system. When the system makes a decision, it must select the right data from the data that it has. And then the system must make decisions using relevant data. This makes the situation problematic. The system must decide what kind of data it needs in the future. 

And that is quite hard to predict. When we learn something we cannot be sure do we need those skills anymore. Maybe we don’t need skills that we learn in the military ever after that. But as we see, the future is hard to predict. The other thing that the AI must do is to adjust its processor's actions like human brains do. In human brains, brain cells have multiple frequencies in oscillation. Scientists say that those differences in oscillation frequency are to avoid rush hours in axons. 

That thing means that brain cells give time to clarify axons. Because brain cells have different frequencies that make it possible to control axons and deny the situation that multiple neurons send data into the same axon at the same time. Those multiple rhythms allow the brain to avoid rushes in axons. The same thing can make a fundamental advance in technology. If we think about the situation that the system that runs AI doesn't have a controller that includes system architecture that makes processors operate a little bit at different times that causes a situation that all processors send data at the same time to the same data gate. That causes a rush and makes the system jam immediately. In the electric systems the system that uses electric impulses for data transmission. 

Processors. That operates in the same moment. Can form standing waves in the data channel. And that burns the system. There are many interesting details in the human brain. That thing opens visions that maybe brains might also have an optical way to transport information. Researchers try to find out the purpose of that light. And if they find a point in, or on neurons that react to that light, they find a new level in their brains. Another interesting detail is that different parts of the same neurons learn in different ways. That means that the neuron itself can be more intelligent and versatile than we thought. 

https://neurosciencenews.com/hippocampus-neuron-rhythm-29277/

https://www.psypost.org/different-parts-of-the-same-neuron-learn-in-different-ways-study-finds/

https://www.psypost.org/neuroscientists-discover-biological-mechanism-that-helps-the-brain-ignore-irrelevant-information/

https://pubs.acs.org/doi/10.1021/acs.jpclett.4c03546