The brain is full of silent synapses.

 

There are millions of silent or cold synapses in our brains. In this text, the terms "silent", cold and dead synapses mean the same thing. We are using only a part of our brain potential. Sometimes some researchers created models to increase the number of used neurons. But those ideas have remained at the philosophical level. 

There are reserve neurons in the brain. That mission is to replace neurons that are in danger. When the brain must renew some of its neurons. It must transfer all memory blocks stored in that neuron to the next generation. The memory blocks that are gone with dead neuron is the reason. For we say that "neurons will not renew". 

When memory blocks stored in the neuron are gone, the next generation neuron cannot make the same missions as its successor. 

There is the possibility that those silent neurons are used only in early brain development. That means when brains are in progress. Those silent synapses are used to create and control the neural networks forming at very young ages. 

The large number of synapses that are not in use must have some purpose. The brain will not make anything that has no part in its entirety. Some people believe that those used synapses are needed when people are sleeping. 

There is a possibility that the human brain uses different neural tracks for sleeping. And especially when the person sees dreams. When a person sleeps the neural network loads its neurotransmitters. And maybe some of those cold synapses are meant for secondary connections. 

The reason why the brain is full of "dead" or silent synapses can have a connection with renewing neurons. The cold synapses might be reserved for transferring data to the next generation of neurons. Or maybe those cold synapses are meant for interaction between the brain and immune cells. 

That means those cold synapses send neurotransmitters to immune cells. And of course, they can receive neurotransmitters. The reason that makes those cold synapses interesting is that everything in the brain is important. 

There is no part in the human body without purpose. And that makes neurology so fascinating. We cannot remove anything from the human body without knowing its function, or we can make very large-size damage. 

Knowledge about the cells ad their actions in the human body is important in medical research. The medicines must affect only the points where they are useful. If medicine affects too large areas, that thing means that they turn harmful. 

And one problem in medical research is how to make medicine separate harmful cells from helpful cells. The medicines must not destroy things like neural structure. If it makes that thing, it causes very bad damage. And that's why medical researchers need precise information about the human body.  

https://scitechdaily.com/surprising-discovery-mit-neuroscientists-find-that-adult-brain-is-filled-with-millions-of-silent-synapses/

https://shorttextsofoldscholars.blogspot.com/

Living neurons and WARP-speed are the next-generation computing tools.

 

The number of connections determines how powerful a neuron is. 

The image above: a small worm or nematode called "Caenorhabditis Elegans" has only 32 olfactory neurons. They are an example that the number of neurons is not important. The way how to use those neurons is more important. And the number of axons or synapsis is the thing that determines the neuron's ability to collect information and handle it.  

Those 37 neurons are all connected with 14 000 receptors. As you can see from that image those neurons have multiple synapses that are coming from two main synapses. These kinds of neurons are giving information about the hybridization of the non-biological and biological components in the microchips. 

The neuron-based bio-computers or organic will revolutionize computing and machine learning. In this kind of system, the living neurons interact with microchips. The data can transmit to those neurons and out from them by using electric impulses. And those systems can use to teach the neurons. 

The bio-computer means that there are microprocessors with organic layers. In those microchips is the living neurons that interact with the non-organic microchips. Those systems require nutrients for their neurons. And maybe one of the missions of the cleaners is to feed the living neurons in the microchips. 

Feeding the neurons can happen through the algae tank. The nutrient will make those algae live, and then they deliver nutrients to the neurons. That will minimize the risk of virus infection in that system. The virus can destroy the entire neuron core of the processor. 

The idea is that the similar effect that makes it possible that the neuron can change its position in the nervous system can use to train living neurons on the computer platform. And then researchers can transfer those neurons to the damaged brains of humans. But living neurons make it possible that computers can learn spontaneously. 

The use of living neurons in artificial intelligence causes problems in legislation and ethics. We should re-estimate the terms animal and human rights. The high-power artificial intelligence can need similar rights to humans and animals. 

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The WARP speed supercomputer requires that the particle rides with energy waves like in Alcubierre drive. The energy wave can form by using side-coming energy impulses. 

In the simplest version, the WARP-speed supercomputer makes a qubit that rides with an energy wave. So the qubit travels in the fullerene nanotubes or miniaturized particle accelerators. 

The outcoming energy impulses make it possible that the particle or qubit travels faster than the photon travels outside the system. The problem with this system is that the data that travels in the qubits can be disturbed. 

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How does the WARP-speed computer works? 

The description of WARP-speed information transmission is simple  "when the system sends information and photon at the same time to the same track. That information comes to its goal before the photon".  The creation of that kind of data transportation is theoretically a very easy process. The needed thing is the quantum stick. When photon impacts that stick. It will push it forward. 

And then, the end of that stick releases another photon or energy impulse. If the quantum stick is rigid. And quantum fields of that stick will not give in. That makes it possible that information travels in this system faster than free photons can transport it. 

Another version is that the system removes quantum fields around the information channel. The hollow high-power laser and maser rays that are surrounding the fullerene nanotubes can use to remove the quantum fields inside that information channel. The system can use two-layer nanotubes. 

Between those nanotube layers is the layer where the isolation radiation goes. And then the DNA-based rigid superconducting structure transports data. Or another version is that electrons or photons are moving in the WARP channel where all quantum fields are removed which makes it possible that those data transportation can move faster than light travels outside that WARP channel.  

https://eurasiantimes.com/brain-cell-powered-ai-raises-technical-ethical-political-concerns/?amp

https://scitechdaily.com/thousands-of-different-scents-scientists-solve-a-30-year-old-mystery/

https://scitechdaily.com/where-neurons-begin-in-the-brain-isnt-necessarily-where-they-end/

https://en.wikipedia.org/wiki/Alcubierre_drive

https://en.wikipedia.org/wiki/Axon

https://en.wikipedia.org/wiki/Synapse

Image: ) https://scitechdaily.com/thousands-of-different-scents-scientists-solve-a-30-year-old-mystery/

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