Species hybrides.

  Species hybrides. 

The Chinese researchers transplanted human neurons to mice. 

This kind of research is possible in countries like China. If those experiments are accepted. Or seen as useful by governments, that means that those tests are well-authorized. The human neurons in the mouse's brain make it possible to research those neuron reactions in certain situations. That gives researchers more information on how things happen between neurons. But that also makes it possible to make things like intelligent puppies. Those genetically engineered pets can make people's lives easier. They can offer help to people. Who have certain limitations. 

Staling and his idea of humanzees, the monkey soldiers, still live in memories. The humanzee-soldiers were suitable for Stalin’s ideology. He wanted soldiers who don’t think. Their purpose was only to serve his personal ideas. And that means they should not think of anything else than how to serve the “Father sunshine”. Stalin wanted robots, not humans. The only accepted morality and ethics in Stalin’s Soviet Union were what Stalin wanted. The only accepted ethics was to follow the rules of the secret police and Joseph Stalin. And the only purpose of research and life was to serve the nation and Stalin himself. 

But the intelligent pets are not the only thing that makes this kind of research very interesting. Intelligent animals can perform many jobs for the military and law enforcement. But those intelligent pets are also key to Stalin’s mad dream about monkey soldiers. Those monkey soldiers were soldiers who had monkey brains. And Stalin’s notorious operator in that idea was Ilya Ivanov (1870-1932). That person transplanted a dog's head between two individuals. Ivanov had no knowledge of the immune system.  

That made those visions of the humanzee useless. But today, technology allows researchers to create hybrid species. And maybe the horrifying visions of the humanzees live in some dictator's head. Today, there is a possibility. To connect DNA bites from different species. And that makes those things that Ivanov tested possible.

And those experiments included the cases where an animal’s head was cut off and a life support system kept that head alive. During 20s technology was very primitive. But when we think about today’s bionic systems. It's possible to connect a human or monkey head to a robot body. The robot will be connected to the robot by using the spinal cord. The computer in the robot's body transforms neural signals into the computer-controlled servo systems that move the robot's body. These kinds of things can be fascinating and notorious things. The ability to transplant human neurons to mice or dogs is the thing. That can transform. Our way to see things. 

"Chrysalis could house several generations until it enters Alpha Centauri, where it could shuttle people to the surface of the planet Proxima Centuri b. (Image credit: Giacomo Infelise, Veronica Magli, Guido Sbrogio', Nevenka Martinello and Federica Chiara Serpe​)" LiveScience, Proposed spacecraft could carry up to 2,400 people on a one-way trip to the nearest star system, Alpha Centauri)

Chrysalis, a theoretical generation ship to Alpha Centauri. 

The interstellar flight requires advanced biotechnology. If there is a disease. That requires immediate and effective reactions. Those people who will go on that journey must not have any social relationships with people on  Earth. They must not have any genetic weakness that can cause mental illnesses. And they must have a strong immune system that can clean their body in the case of infections. When those people go, they go forever. 

Another interesting thing is that researchers are starting to create space mouse babies. Those rodents will be born and grow in a microgravity environment. These kinds of experiments can give a boost to our way across the solar system or even to stars. There are models that some researchers call “Solar Warden”. In that model, in the future, there will be space humans who live their entire life in a microgravity environment. They will be born in spacecraft or space stations that travel around the solar system. 

Those people will ever visit to Earth and they spend their entire life in zero gravity. That kind of thing will happen. If we someday send humans to other solar systems. If we send a generation ship to Alpha Centauri, that journey takes 400 years. So, if we send that craft on that trip, we will never see those people again. There are generations between us and those colonists. But before we send that craft called “Chrysalis” on that one-way trip, we must change our culture. “Chrysalis” is a theoretical plan to create an interstellar spacecraft. But maybe someday. We will handle that technology. 

But the biggest problem is that those people who travel in that craft will also lose contact with Earth. Those people will spend their entire life in that craft. So the Earth will become very distant to those colonists who travel between Earth and Alpha Centauri. The Chrysalis takes 400 years for that trip. That means if the Alpha Centauri civilization sends this kind of generation ship to Earth. And that craft arrives tomorrow, they should send that thing in the 17th century. If that trip takes exactly 400 years, that hypothetical craft will be sent in the year when Cassini was born and King Charles 1 ruled England. The 30-year war began a couple of years earlier.

https://www.livescience.com/space/space-exploration/proposed-spacecraft-could-carry-up-to-2-400-people-on-a-one-way-trip-to-the-nearest-star-system-alpha-centauri

https://www.scmp.com/news/china/science/article/3322054/chinese-scientists-transplant-human-brain-cells-mice-boosting-pleasure-levels

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

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

Two films about Ivanov and his dark ideas. 

https://www.youtube.com/watch?v=L2ius0Qw4Ek&t=323s

https://www.youtube.com/watch?v=h6HRK9Xc4eU

The new genetic engineering beats Sci-Fi tales.

The new systems are making genetic engineering more powerful than ever before. The biological artificial intelligence called PROTEUS can usher in a new era for medicine and gene therapy. When we think about things like cancer and blocked blood vessels there is the possibility to send new small robots to destroy those tissues and open blockades. 

The problem is that those robots are hard to control in the human body. AI-controlled biorobots can solve that problem and maybe in the future, genetically engineered bacteria can destroy wanted cells. Or maybe those cells can make much more than just remove cancer cells from blood. The artificial amoebas can also be used to transport tissues in the damaged areas of the human body. The artificial amoeba searches the point where the damaged tissue is. 

Then the amoeba closes the blood vessel and then the mRNA or DNA reprograms that amoeba into the tissue that fixes the damage. Researchers have noticed that the brain's memory centers are constantly generating new neurons. That thing makes it possible to create systems that can used to recover memories in the case of brain damage. The genetically engineered amoeba can travel to damaged neural areas and then transform into neurons. And the problem is how to transfer the memories or skills that destroyed neurons involved into the new neurons. 

When a memory cell creates a new neuron and transfers its memory to that cell it's possible to steal those cells. And then put them into the freezer. The artificial parasite can go to the brain and steal those cells. Then the genetically engineered mosquito can call those parasite-robots to it and then transfer biorobots to the laboratory. The AI can read those memory blocks. And maybe, sooner than we expected, that thing allows researchers to read people’s memories without brain implants. 

The ability to create 3D printings in the cells creates new ways to reprogram cells. The 3D printer simply makes the mRNA molecule in the cell. And that tool can adjust the cell's purpose anytime when researchers want. 

Genetically engineered cells can also be used to transport data from the chemical memory DNA or mRNA to the computers. The idea is that the cell can send electric impulses or blink the bioluminescence light to the data transport. Genetic engineering makes it possible to make almost everything. The genetically engineered mice that had the human genome started to be discussed. And that is one version of the new visions for genetically engineered animals. In visions, intelligent pets are animals whose mission is to assist their masters. Those intelligent pets are things that are opening new visions for bio-engineered creatures. 

What would you do with talking mice? If the AI can communicate with those creatures like talking mice, those creatures can tell us what animals talk. And the ability to talk with animals would open new roads to biology, ecosystem understanding, and many other sciences. 

And all those visions are not things that feel good. 

We know that people like Kim Jong-Un want things like super soldiers. And new technology brings vision about the super skills that a person can have only when those skills and abilities are needed. That means that person gets the super muscles only when that person is frightening. 

When we think about the possibility of changing genomes in the human body we face the ultimate dream of human history. That dream is about the superhuman. The superhuman is a creature that is stronger and more intelligent than a regular human. And the product of that dream is the super soldier.  Genetic engineering makes biological creatures like humans the product. The new tools like self-amplifying RNA, saRNA make it possible to customize human skills for every situation. 

The ability to adjust the human intelligence level and transfer things like wolf’s behavior genomes to a person's body makes it possible to create soldiers who are obedient. That thing makes those people perfect soldiers. Otherwise, that genome makes those people dangerous in the wrong hands.  But what if the system can remove that ability when a person is out of service? The idea is that the person, or creature has some ability only when that creature requires that ability. '

https://www.earth.com/news/life-copying-itself-scientists-create-a-self-replicating-rna-system/

https://medicalxpress.com/news/2025-07-scientists-biological-artificial-intelligence.html

https://www.sciencealert.com/brains-memory-center-never-stops-making-neurons-study-confirms

https://www.sciencenews.org/article/3d-print-elephant-inside-cell

Large language models and fuzzy logic.

Large language models (LLMs) are problematic for programmers. They require a new way of thinking about programming. The key element in those systems is the input mode or input port. That understands spoken language. The system requires a model that transforms spoken language into text and then drives that text to the computer. And the text must be in the form that the computer can understand and turn it into commands that it can use. The system must also turn dialects into literal language that it can use for commands.  This is the first thing that requires work. The programmer must teach every single word to the system. 

The practical solution is to turn the word into numbers. In regular computing. Every letter has a numeric code called the ASCII code. The capital A (big A) has the decimal code 65. The programmer must realize that the small "a" has a different numeric code than the capital A. The little "a"'s ASCII decimal code is 141. That's why things like passwords require precise letters and if there is a capital letter in the wrong place the password is wrong. 

So, if we want to make the system more effective. We can give a numeric value for every single word that we find in the dictionary book. We can simply take the dictionary book and then give serial numbers for those words. The word "aback" can get the number code 1 (one). That thing makes it easier to refer to those words. Every word must be programmed separately into the system. And that makes programming hard. The other thing is. If we want to use dialects we must also program those words into the LLM, 's input gate. That programming is not very complicated, but it requires a lot of work. 

Diagram: Neural network

In human brains, neurons are the event handlers. In artificial, non-organic, non-biological computer networks, or computer neural networks computers or microprocessors are those event handlers. In human brains, thousands or even millions of neurons participate in the data-handling process. Those neurons make fuzzy logic to the brain. 

The idea of fuzzy logic is that many precise logical cases can make the system mimic the fuzzy logic. Fuzzy logic is a collection of precise logical answers. 

Another thing is that we must make a system that uses fuzzy logic. Making fuzzy logic is not possible itself. But we can create a series of event handlers that make the system seem like fuzzy logic. The idea is taken from the human nervous system. When a large number of neurons participate in the thinking process that makes the system virtually fuzzy. Every single neuron uses the precise (YES/NO) logic but every single neuron has a little bit different point of view to the problem. 

So the system uses a model that looks like the grey scale. There is the white that means YES and black that means NO. And then there are "maybe cases" between those YES and NO cases. Those "maybes" are the absolute logical event handlers like neurons. When that group of event handlers gets its mission, every single event handler selects YES or NO. Then the system calculates how many YES, and how many NO solutions it has. So those event handlers give votes to the solution. 

The model is taken from quantum computers. In quantum computers, data, or information travels in strings and finally, every string has values 0 (zero) and 1 (one). You might wonder how much power that kind of system requires if every event handler must process information. Before it answers. But then we face a situation where the system must answer "maybe". Another way to say "maybe" is XNOT (or X-NOT). Or if the answer is closer to "yes" another way to say that thing is XYES (or X-YES). X means that the system waits for more data.  

The system might say. That it does not have enough information in the data matrix. That is a large group of databases or datasets. And that is the major problem with AI. If the votes on the scale of "YES to NO" are equal that means the system has a problem. If the AI controls the robot that is in the middle of the road and votes are equal that robot can just stand in the middle of the road. Another thing that we must realize is that these kinds of systems are the input gates. Data handling begins after the system gets information into it. 

https://en.wikipedia.org/wiki/ASCII 

The ability to decode neurons can connect a person straight with the net.

 The ability to decode neurons can connect a person straight with the net. 

The AI itself is an impressive tool. If the office uses general-AI-based technology. That means the director can simply give a "to-do" list to AI in the morning. And then the AI makes those things, like sending business letters to customers, and following that payments are made. 

But the AI allows us to create things like BCI (Brain-computer interfaces). Those interfaces link people straight with computers. The fully working BCI system allows people to make connections using brainwaves. And the BCI system makes technical telepathy possible. In those systems person can control robots using the brainwaves. 

The BCI means that the computers can decode thoughts. Then system can transmit those thoughts on the computer screen. The ability to control robots using brain waves is possible only when the system knows what a person thinks. The problem is this. If we control robots by using brainwaves most thoughts are not meant to control robots. We might accidentally think something that we don't dare to say. And then robots will do something that we don't mean. The AI should filter those dangerous things away from systems, meant for civilian use. 

New simulations can simulate neuron's work very effectively. And we can say that the laboratories are decoded neurons. This thing makes a very big advance in many technologies. The complete knowledge of the system is required for full control of it. Things like BCI (Brain-computer interfaces) and neuron-microchip hybrid systems control things like nanomachine swarms. 

The ability to transfer information directly between computers and neurons makes it possible to create new types of interfaces. In those interfaces, people control computers straight with their brainwaves. If we think that people use BCI interfaces when they operate with robots, that means the robot is like another body for a person. The person will not make a difference between the robot body and themselves. 

The BCI systems allow to creation of ultimate augmented reality. That connects a person straight to the internet. In some visions, the neural link-type of systems can interact with the Internet through mobile telephones. And when we are talking about augmented reality, we mean multilayer systems. In those systems, people can use robots as exobodies, but they can also operate in fully synthetic simulation. 

And that thing can revolutionize everything from surgery to military, games, and adult entertainment. In some dystopic visions, some game addicts can use so many BCI-based augmented reality levels that they lost in that virtual world. In the worst case, those people die of hunger and thirst, because they simply forget. That they are in virtual reality. But making those things and visions functional, the creators of those systems must know how neurons interact. 

When we think of half-organic microchips those microchips interact with neurons. If engineers can program neurons. That allows them to transfer complicated programs to small microchips that interact with the machines straight through their kernel. 

Same way, programmed neurons can control nano- or mini-machines. The problem with nanotechnology is that the nanomachines are too small to carry effective computers. There are two ways to handle that problem. The nanomachines can make WLAN-based swarms. Another version is that the nanomachines can use living neurons for handling their operations. 

https://scitechdaily.com/neurons-decoded-the-universal-workflow-powering-brain-insights/

The neuron densities in the cortex area follow a consistent distribution pattern.

 The neuron densities in the cortex area follow a consistent distribution pattern.

The consistent distribution pattern, or Gaussian pattern, is the key element of modern mathematics. The consistent distribution model of neuron distribution in the cortex determines everything our brain can do. The cortex is the key element in productive thinking. And the distribution of cell types determines what our cortex can do. Some skills that neurons have are determined by their genomes.

Researchers have noticed that fruit flies have extraordinary numerical abilities. That thing means that the DNA determines what skills neurons have. All neurons are not similar. And when we are learning something, we transport that information to our neurons.

But then all of us realized that we don't learn all skills in the same way. Some of us learn math easily, but things like languages are harder to learn. And that means we are learning things differently. That thing causes the idea that we can teach any skill to our neurons, but some neurons receive some skills more easily than others. 

"Neuron densities in cortical areas in the mammalian brain follow a consistent distribution pattern. This finding that has profound implications for brain modeling and the development of brain-inspired technologies. Credit: Morales-Gregorio" (ScitechDaily/Mind-Blown: Mathematical Rule Discovered Behind the Distribution of Neurons in Our Brains)

What if we have only one neuron type in our cortex? What if we only have "math neurons" or musical neurons in our cortex? Could that thing cause the phenomenon called "savant"? 

That means some neurons are "math neurons" because they receive mathematical information better than others. Some neurons are "musical neurons" because they learn or receive information that is required for music. 

If we think that we have math neurons, linguistic neurons, and drawing neurons, we might uncover the mystery of the Savant. What if a person has only math neurons? Or what if we only have musical neurons? 

Neuron-type distribution in the cortex might uncover things like autism and savants. A savant is a person who is very good in a very narrow skill area, like math or drawing. But otherwise, those people might have no other skills at all. That leads to the idea that maybe the reason for Savant is that there is only one kind of neuron in the cortex. In that case, extraordinary distribution in neuron types causes a situation where a person has one extraordinary but very narrow skill. 

https://scitechdaily.com/does-a-childs-math-skills-have-a-genetic-basis/

https://scitechdaily.com/mind-blown-mathematical-rule-discovered-behind-the-distribution-of-neurons-in-our-brains/?expand_article=1

https://scitechdaily.com/perceiving-quantities-fruit-flies-astonishing-numerical-abilities/

New research allows transferring neurons between species.

"This is a histological image of a rat brain with a grafted human brain organoid. Credit: Jgamadze et al." (ScitechDaily.com/Scientists Transplant Human Brain Organoids Into Adult Rats – And They Respond to Visual Stimuli)

Scientists transfer human neurons to adult rats' brains. And those neurons give a response to visual stimuli. This is the first time in history that living neurons transferred to an adult's brain. And that thing allows the creation of new types of medical treatment for brain damage. The ability to transfer neurons to the neural system and make them operate also allows the transfer of the "brain" between people. 

The problem with neuron transfer is that those new neurons have no memories. Neurons need their memory blocks to make their missions perfectly. Those memory blocks are needed so that neurons can find the right track for information that travels through it. 

DNA transfer allows creating the customized organs for people. In some models, the DNA bite that controls the cell's shell antigen production will transfer to animals like pigs. That allows the creation of customized organs for people who need them. Rats and mice are excellent for making neurons. Those rodents are fast growing. And they are used in tests in multiple laboratories. 

Another version is that system duplicates the neuro's DNA using PCR (Polymerase Chain Reaction). And then transfer that DNA to other cells. One of those cell types can be cancer cells. In that case, the system removes old DNA from those cells. And replace it with new DNA. 

The cloned cells allow for avoiding the immune defense because cloned cells are not alerting immune defense. The problem is that the system must produce lots of cells. That can replace the destruction in mechanical brain damage. 

One of the biggest problems with that kind of cell transfer is the immune defense that destroys all foreign cells. Normally, the immune defense destroys the transplanted cells if their antigens differ from the individual's cells. 

But by using genetic engineering is possible to create the perfect cells for transplant. The idea is that cells can create by cloning the individual's neurons. And by using advanced biotechnology and nanotechnology is possible to create genetically engineered mice that tissue antigens perfectly fit with the receiving human. 

The idea is that the DNA bite that controls the cell's antigen forming will transfer from the receiving human to the rat's embryo. That allows the creation of customized tissues like neurons for receivers. Transferring the DNA that controls tissue antigen formation allows the creation of animals like pigs for making customized organs for people. 

https://scitechdaily.com/scientists-transplant-human-brain-organoids-into-adult-rats-and-they-respond-to-visual-stimuli/

https://likeinterstellartravelingandfuturism.blogspot.com/

Can we someday transplant the brain from one body to another?

The thing is that transplant a head straight from one body to another is not possible because the immune defense destroys the transplant. Also, the spinal cord is hard to connect. And because the spinal cord cannot make them grow together, because immune defense destroys those cells. Making a working head transplant is not possible. The immune system is the thing that made Ilya Ivanovich Ivanov's (1870-1932) experiments in the 1920s impossible.

But Ilya Ivanovich Ivanov was a pathfinder. He made the dog's head live in the machine for a couple of days. And that thing can use for making surgical operations on the body. 

Then that body can reconnect with the own body of the person. The only thing is how to connect the spinal cord. If the person has large-scale injuries the head can remove. And then medical staff can cure the body and remove things, like some poisons. The head can connect to the heart-lung machine when the operators work with the body. The idea is that separation of the head denies the poison transfer to brain tissue. 

One version of the brain transplant is the process where researchers destroy the person's immune system. And that means the immune system will not destroy the transplant. But the person must use a space suit while being outside. And that person must live in a house that looks like a space station. If one single organism slips into that house or base that causes death immediately. 

But then we must realize that Ivanov did not know about genetics and immunology. During his lifetime nobody even knew the DNA or at least its role as genetic code in living organisms. Ivanov couldn't create synthetic DNA or RNA bites. And there is a possibility that large-scale genetic transplants can be made by using synthetic retroviruses. In this case, the laboratory creates synthetic RNA bites by splitting the DNA. Then those RNA bites will inject into the cells. 

Or some cells can transform to create synthetic RNA-retroviruses. Those viruses can have similar core antigens and structures to the AIDS virus. But the genetic material that is connected to the cell's genomes could involve instructions to make neurons. The thing is that those viruses can inject into any organism on this planet. 

There are two possibilities to make a brain transplant. 

*Chancing the entire head.

*Changing only brains. 

If we want to change heads between persons, researchers must use highly effective immune depressants. And the tissue typing must make very careful that the body and head are close to each other as possible. But that requires the body. So in this case the problem is how to get a younger body for that operation. The tissue antigens must be as near to each other as possible. 

Or genome therapy can change the core antigens of the head. In that case, the tissues in the head are turned to similar. With the body where that head will transfer. But that kind of immune therapy is possible in the future. Today we cannot do that thing. The idea is that the artificial virus that is made by using the DNA of receiving body will inject into the head. And then that virus transfers the antigens of the cells. 

And that genome transfer must make the antigens of the head and body identical. If that is successful. A head transplant is possible. There is the possibility that the spinal cord will put two microchips that connect the broken neural tracks.

But what if researchers are transplanting only the brain?

There are also two ways to make the neuron transplant between the brain. 

*Real neurons are used for neuron transplant. 

*Or the EEG or the skills that the donor's neurons are involved. Will transplant to the new body. 

There is a vision of the future.

The lab-grown human neurons were transplanted into a rat's brain. That thing causes visions. That in the future is possible. Researchers can make rats with customized genomes. Those rats can use to create customized stem cells or neurons. In that case, the synthetic RNA from the receiver's body can transfer to the rats. And that makes it possible that they can create stem cells. That is fitting perfectly into people who will receive them. 

Or before a person bor. Medical staff takes stem cells from the fetus and stores them in liquid nitrogen. Then those stem cells can multiply by multiplying their genome in the laboratory. And then inject them into some other cells whose own genome was removed by researchers. 

Genetically engineered rats can use to create neurons with the same antigens as the receiving body. In that case, the genetic material of the rats can manipulate the tissue types of those rats to be identical to the receiving body. The thing is that nanotechnology along with artificial intelligence and new observation tools are increasing our knowledge and capacity in genetic engineering. 

Then those lab-grown neurons will inject into the damaged brain. The problem is that the skills that are stored in those damaged neurons must somehow restore. Those skills can transfer to those lab-grown cells. But that requires accurate data on the lost memories. Or the system that transfers memories to those cells must use synthetic memories. 

Theoretically, brain transfer is not as difficult as people might think. The problem is how to deny immune cells to destroy those cells. There is the possibility that the stem cells that are just starting to specialize would inject into the person's brain. In some other visions, the gel that is made by using neurons can inject into the brain or head. 

And then those neurons would travel to the right points. But that requires that those neuron's antigens are not launching the immune system. In some visions, researchers make neuron transplant by using cloned neurons. That is taken from receiving body. Then the needed information will load onto those cells by using electric stress. 

In that case, the needed thing is stem cells there is transplanted the DNA of the neurons. And one vision is this. 

Researchers can make this genome transfer to cancer cells. That is quite similar to stem cells. 

The lab-grown human neurons made a working neural network in the rat's brain. That thing shows that neurons can transfer between species. 

This thing means that neurons themselves can transfer at least between species. So if human neurons can transfer to rats the opposite transplant is also possible. There is the possibility that in the future. There are lab-grown rat neurons that genetically transform to fit the receiving body. 

https://drchandrilchugh.com/blog/is-brain-transplantation-possible/

https://ec.europa.eu/research-and-innovation/en/projects/success-stories/all/lab-grown-neurons-pave-way-precision-medicine

https://www.news-medical.net/life-sciences/Lab-Grown-Neurons.aspx

https://www.quantamagazine.org/lab-grown-human-cells-form-working-circuits-in-rat-brains-20221012/

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

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

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

There are videos of Ivanov's experiments. I don't put them in here.  But you can find them on YouTube. Use words "ilya ivanovich ivanov". 

https://designandinnovationtales.blogspot.com/

Researchers found the genome that makes the human brain.

By observing anomalies, researchers can find how the brain works and forms. When there is some kind of anomaly in brain structure researchers can make the genetic map of a person. And then look for differences in the DNA sequences that control the brain and its development. 

The brain is morphing throughout its entire life. That means connections inside living adults' brains, are not fixed. 

The brain can form new connections during its entire life. And that allows us to learn new things even if we are adults. 

Locating those sequences is an easy thing. The DNA sequences that control brain advancement are the most rarely used base pairs. 

The neural network in the brain morphs all the time. And that thing allows us to learn new things. 

But the same ability makes us forget things. The brain always removes unnecessary memory marks. 

The reason why our brain forgets things is that it doesn't have to grow its database enormously. And if some memories are not needed. Brain removes it. 

The reason for that is if there are lot of unnecessary data the brain must check those cells anyway. And large data mass makes them slower. 

Even if the brain can store and handle enormous data mass. There are limits to its storage capacity. And when the brain removes unused memory, it makes space for new skills. 

Researchers found a genome that coordinates brain growth. That thing allows them to create mice that have similar neural structures to humans. This makes it possible to research learning and other kinds of processes in the brain. But those genomes can also make it possible to create animals that can learn faster and more effectively than natural animals. 

Finding the genome that controls the development of the brain is the thing that can also make the "monkey soldiers", Stalin's mad dream real. The thing is that researchers can develop new types of species that have certain abilities. And that thing makes genetic research very dangerous. 

That kind of research makes it possible to create also a new type of pet and animal helpers. Those animal helpers can make jobs for their owners. There is a possibility that pets with improved brain capacity can assist people who have limitations. 

The ability to connect human brain cells to mice and make them form new networks also makes it possible to connect animals like dogs or wolves cells to the human brain. Those animals are following their leaders. 

And if those brain areas that are making them act a certain way in the pack would copy to the human brain, that allows the creation of obedient humans who follow their leaders all the time. But the same technology that lab-grown human neurons will inject into the brain can fix large-scale neural damage in the case of accidents. 

https://www.quantamagazine.org/lab-grown-human-cells-form-working-circuits-in-rat-brains-20221012/

https://www.science.org/content/article/human-neurons-merge-rat-brain-control-senses

https://scitechdaily.com/adult-brain-structure-is-not-fixed-scientists-discover-depression-treatment-increases-brain-connectivity/amp

/https:/scitechdaily.com/scientists-uncover-the-gene-responsible-for-humans-big-brain/

Image: Pinterest

https://fromplatoscavetoreality.blogspot.com/

Transplanted lab-grown human neurons made a working network in rats' brains.

Next-step to creating medical care for people whose nervous system is damaged is to put the artificial or cloned neurons in damaged neural areas. The researchers successfully transferred lab-grown human neurons to rat brains. And those neurons are making networks. 

Skills are a series of memories. And this technology allows the transplant of memories between humans. That thing makes it possible to transplant memories and skills between people. The only necessary thing is that necessary skills are transferred to those neurons by stressing them by using the EEG. 

That thing makes it possible to hybridize the nervous systems of animals. The ability to create organisms that have a hybrid nervous system makes it possible to make intelligent pets. And increase the intelligence level of other species. 

Intelligent pets could be useful assistants for people who have limitations. But that technology is useful also in the hands of the military. 

But that kind of biotechnology have also threats. That kind of neural hybridization makes it possible to create the human-dogs or so-called "dog soldiers". If the neural structures that make wolves follow their leader and dogs loyal to their masters are transferred to human brains. That thing makes it possible to create people who always follow their orders. 

The idea of dog soldiers or "monkey soldiers" that are willing to follow their leaders always when they want without excuses is a dictator's mad dream. And there is a legend that mythic werewolves are the result of the hybridization of dogs and humans.  

The Soviet dictator Joseph Stalin ordered a man named Ilya Ivanovich Ivanov to research the possibility to create dog- or monkey soldiers. And Ivanov is the person who transplanted the heads of the dogs into another body. That research pleased Nazis and some SS doctors worked with experiments where humans tried to hybridize with dogs or wolves. 

But the success of those experiments was poor. But then researchers found the DNA. And then by using nanotechnology is possible to connect genomes over species. That thing causes things that were pure imagination in the 1940s to turn true. So by using modern technology is quite easy to make human-dog hybrids. 

https://www.quantamagazine.org/lab-grown-human-cells-form-working-circuits-in-rat-brains-20221012/

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

Image: 

https://www.quantamagazine.org/lab-grown-human-cells-form-working-circuits-in-rat-brains-20221012/

Yale researchers discovered why the human brain is different.

"Yale researchers have identified human-specific features in the prefrontal cortex".(Scitechdaily.com/Yale Scientists Discover Clues to What Makes the Human Brain Different)

Yale researchers mapped physical differences in the human brain. There found multiple different cell types in the human brain. Researchers mapped cell types that are common with all species. And they found also five cell types that are common only in humans and chimpanzees. One of the most interesting founding was brain-specific immune cells. 

That kind of research might answer why the human brain is so powerful. But also the things like brain-specific immune cells can give a tip, on why somebody will get things like brain cancer or Parkinson's. There is more about that research in the link below this text. 

This kind of research can answer the question, why do only humans have the ability to think abstractly? Abstraction is the ability to model things in mind. And that ability allows we can plan things and transfer data to other humans by using spoken language and drawing pictures. 

When we know how the human brain works we can also get an answer, to why our brain uses only a small part of the energy that computers need. Another interesting thing is why only humans seem to have psychosomatic diseases. 

Are those diseases the result of the situation that the brain cells are connecting with the wrong neurons? That might form the wrong type of virtual neuron that can launch a chain reaction and that thing pulls other neurons to the same situation. 

The brain is the neural network that can interact with other networks.  For operating effectively, the neural network requires multiple connections. But thinking and planned actions require that the neural network can operate in two directions. When the senses see something the neural system must hold the operation. 

The ability to postpone the action helps humans to see if there are other predators near the prey. Most of our abilities are connected with getting food. And the ability to postpone an attack makes it possible to make sure that nothing is following the hunter. 

The ability to postpone an attack makes it possible that individuals can collect more information about their environment. If a hunter is alone and sees something like a small antelope that is suitable for dinner the stone-age hunter must first see that there are not some other predators or overwhelming hostile villains before that person starts to attack. There is always the possibility that some savages are trying to steal that food. And that's why we can postpone things. 

 

https://scitechdaily.com/yale-scientists-discover-clues-to-what-makes-the-human-brain-different/

Image: https://scitechdaily.com/yale-scientists-discover-clues-to-what-makes-the-human-brain-different/

"Caenorhabditis Elegans" the worm that can't resist its food.

One of the very interesting things about the "Caenorhabditis Elegans" worm is that this kind of creature is one of the examples of the creatures. That has only reflexes. There are only two main axons in those neurons. The input and output axons are making those cells similar to reflex neurons of the human nervous system. 

And that means when "Caenorhabditis Elegans" smells food it cannot resist that smell. Those cells transform that worm into a living missile that is going in the direction of that smell. 

The Elgans worm is an example of an impressive, simple, and effective way to use neurons. The brains of the system are the 32 neurons that are operating multiple sensory cells. The system works very simply. When the worm detects that the smell of food comes from the left side the system activates muscles that the worm starts to turn to that source of the smell.

Image 2) "The Caenorhabditis Elegans"

When the neurons that operate the sensory cells in the middle of the worm's nose activate that worm starts to travel to that food. When the worm travels to food it makes the  worm make "Deep S" shape movements.  

That movement makes it possible for this worm can estimate its distance to food by using triangular metering. The brains of that tiny worm are estimating the angles of different sensory cells. And when the worm is close enough. That makes it to hit to target. 

If human senses are connected directly to the muscles using reflex neurons. Humans would act like this worm. If those reflex neurons connect the sense of hearing to the muscles, the person will do whatever other people say.

If our olfactory coil would be connected to muscles only through the neurons that have in and out connections humans would act like in the cartoon, where the character cannot resist the smell of food. The  "Caenorhabditis Elegans"  is the real-life version of the horror-movie zombie that smells food and then travels to it like some missile. 

"Caenorhabditis Elegans" is one example of reflex automation. When sensors are seeing something the automatic action will make something. One of the examples is the case where water rises too high in some room. That thing causes an action that the system opens ventilation. 

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

Image: 

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

https://designandinnovationtales.blogspot.com/

"Caenorhabditis Elegans" and their influence on the research of neural networks.

Elegans worm "Caenorhabditis Elegans" is also an example of why neural networks are so powerful. The 32 olfactory neurons of that worm are connected to 13- 14000 receptors. The neural network of those 32 neurons is taking information from very large areas. And the surface area that delivers information is also important for the neural network. In the case of the elegant worm, the purpose of the network is only to input data to the neural system of that primitive worm. 

Above this text, you can see the neurons of the "Caenorhabditis Elegans". The reason why that worm is not intelligent is that the axons are networked with two main axons. So those neurons have only two states. The more advanced neurons have loop connections to the body of the cells. Or they are forming the loop of interconnected neurons. 

The neurons could have multiple states if it has multiple loop connections in their body. Or the series of neurons are interconnected to a circle. And there is a possibility that the loop of interconnected neurons begins and ends in the same neuron. 

So the olfactory neurons of the elegant worm are the example of the "dummy neural network". The dummy neural network means that the system just collects data from the sensors and maybe sends that data to the screens. Another version of the neural network is the intelligent network. 

There are two main types of neural networks:

1) Passive neural networks which have subtypes: 

1a) Dummy neural network. 

This neural network just collects information from the sensors. 

1b) Intelligent neural networks. 

This neural network preprocesses information before it outputs it. 

2) Active neural networks

Active neural networks are always intelligent. Those neural networks can react to things that they see. In the case of a fire, the system can activate sprinkler systems and order people to get out of buildings. 

That kind of system can detect also things like knives and aim acoustic weapons at the attacker. Or in the cases of the subways, that system can shut down lights in the case of violence. And the security team can use infrared lights in their operations. 

The intelligent network also collects information from the sensors. But there is the preprocessing stage between the output of information. So if we are thinking about surveillance systems that are using the dummy network that system just inputs the film of the surveillance cameras to screens. But the intelligent neural network can also sort the images that the areas where people are more highlighted than areas, there are no people. 

And if there is a person, who seems to want to hide in bushes that system can mark this kind of thing for authorities and security personnel. This is the difference between an intelligent and a dummy network. In those cases the system is passive. It collects information and maybe preprocesses it. But the neural network would not make active actions like using loudspeakers that are telling that the person has the knife or using the acoustic weapon against that kind of target. 

https://designandinnovationtales.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. 

**************************************************************

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. 

****************************************************************

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/

https://designandinnovationtales.blogspot.com/

Why thinking hard makes people tired?

"New research shows that prolonged, intense cognitive work causes potentially toxic byproducts to build up in the part of the brain known as the prefrontal cortex". (ScitechDaily.com/Mental Fatigue Is No Illusion: Scientists Figure Out Why Thinking Hard Makes You Tired)

There is the possibility that we are tired during cognitive thinking for two reasons. The brain needs to reload its neurotransmitters. And if the temperature in the brain is rising too high. Cognitive operations turn difficult when the temperature rises. Especially when this happens inside the brain. 

The high temperature inside the brain causes the control of enzymes and other chemical processes to turn difficult. When neurons work hard their metabolism turns high level. The products of the metabolism of hard-working neurons also accumulate in the brain when a person thinks hard. 

And brain needs to decrease its temperature low enough that it can effectively continue its cognitive thinking process. So our brain requires sleep and breaks too. 

Getting tired is the mark that the brain needs a little break. And during that break called "sleep", they will decrease their temperature and reload neurotransmitters.  

Researchers found that when a person thinks the toxic byproducts are accumulating in the brain area called the "prefrontal cortex". That thing might be one of the reasons why we are getting tired while we are sleeping hard. But other things are involved in that process. When a person does cognitive work neurons in the brain are changing data. And during that process, they are using neurotransmitters. 

Whenever a chemical neurotransmitter crosses the synaptic border between neurons the enzyme destroys that neurotransmitter and frees the receptor in the neuron for the new neurotransmitter. So when a person thinks cognitively the neurotransmitters can go to a low level, and then the brains need to rest. During sleep, brains are reloading their neurotransmitters. The use of brains in cognitive actions requires energy. 

When the temperature in the brain goes up, cognitive performance goes down. High temperature makes it hard to control the neurotransmitters, proteins, and especially enzymes. When the temperature inside the brain turns too high the cognitive work turns too hard. And then brains get a signal that they must take a brake. That means brains will get a signal that they must go to sleep so that they can reload their neurotransmitters and make the temperature inside the brain get lower. 

https://www.cambridgebrainsciences.com/more/articles/as-temperature-goes-up-cognitive-performance-goes-down

https://scitechdaily.com/mental-fatigue-is-no-illusion-scientists-figure-out-why-thinking-hard-makes-you-tired/

Image:) https://scitechdaily.com/mental-fatigue-is-no-illusion-scientists-figure-out-why-thinking-hard-makes-you-tired/

Neurons can change their place and missions in brains.

Researchers noticed that the neurons can travel in brains. That means a neuron can begin its career in a different place where it ends its career. This thing can benefit in the cure of brain cancer or accidents. If the destruction of brain cells is very large-scale

There is the possibility to use cloned neurons where the memories are transferred to replace the destruction in brains. The problem with brain damage is that the memory blocks of neurons are gone. And maybe this kind of research makes it possible to minimize brain damage's effect on a victim's life. 

The position of neurons in brains is not necessary where neuron ends its career. That means that neurons can travel inside the brain. That means when the health or speed of a neuron changes it needs to find a new position. 

If there are lots of synapsis in the neuron, that makes it a little bit slow. A large connection number means that the neuron must look for the right connection for a long time. That kind of neuron is suitable for the slow and peaceful thinking processes. But the reflexes require fast-operating neurons. Those neurons have only a few connections. 

And they are fast-operating. The brains must find a balance between those two neuron types. Reflexes are important. 

But the brains must also create new things. For that kind of process, brains must interconnect neurons and connect memories with abstract images. Imagination is another name for visual abstraction. That thing makes humans superior to other species. 

The neuron can move physically or virtually. In the physical model cell, itself moves. In the virtual version of the neuron's movement the neuron transports memory to another neuron. And reprogram the target neuron. Or neuron renews its connections.

If the neuron itself moves helper cells are moving neurons to another place. Another way is that the neuron changes its synaptic connections. Those synaptic connections can be extremely long. And that means the missions that neuron handles are in other brain areas than the neuron itself locates. 

The third way is that the neuron transfers its memory blocks to another neuron. And then that neuron replaces those memory blocks by using new memory units. The key element in a neuron's identity is memory. The memory black determines the skills and position that neuron has. The mission of a neuron is stored in the memory of the neuron. And connecting those memory blocks neurons can create virtual neurons. 

So that means the number of physical neurons is not telling the entire truth about the abilities of the brain. When we are calculating neurons we can say that some bug has only ten physical neurons. But those neurons might have tens or even hundreds of different states. The neurons of the bugs are connected to themselves by the loop synapsis. 

Every track of those loop synapsis determines the new state of the neuron. And connecting those tracks using them at the same time. And interconnecting neurons means that the bug might have thousands of states in its neural system. And the states of neurons are the thing that determines the intelligence level. Each state of a neuron is acting like it will be an independent neuron. And when we are calculating neurons we should calculate the states of neurons rather than physical neurons. 

The human brains have billions of states. The neurons can make loops, they can interconnect. And they can also transfer their memory blocks to new neurons. 

So neurons are teaching each other. That ability makes neurons more interesting than we even think. The memory blocks are always acting similarly. And some of them are handling memories. The ability to transfer memory blocks across neural systems makes it possible to transfer memories between individuals. 

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/

Image: ) https://www.piedmont.org/living-better/10-fun-facts-about-your-brain

https://designandinnovationtales.blogspot.com/

Is the reason for autism that there are "too many" certain type neurons in the human brain?

The math neurons are causing a question: is autism an anomaly about neuron groups that control certain skills. If the neuron group that is controlling mathematics skills is too dominating. That means there are fewer neurons for handling some other skills.

The discoveries like math cells in human brains are leading neurologists to track the origin of autism. The savant autism and math-cells are causing an idea that maybe autism is the disorder. In the relation in cell groups in human brains. The specialized neuron group is controlling every single skill that person has. That means there are "math neurons", "language neurons", "musical neurons", etc.

 And if there are "too many" neurons that are controlling some skill. That means there are fewer neurons that are controlling some other skill. Even if we have 300 billion neurons in the human brain every single neuron is responsible in its area. And every single neuron has the area where it's best. So that means autism can be an anomaly in the relations of the neurons that control certain skills. 

There is made new research about autism. And one sad thing that is seen. Is that sometimes undiagnosed autism is the thing. That is driven a person to suicide. This thing is reasonable because autism causes problems with social relationships. The need to be social is the thing that causes sad things. And I certainly hope that nobody must die because society wants them to be "normal". 

Modern society benefits good social skills, and that means a person, who has autism must always force and drive themselves to social contacts. Being different than others causes. Other people would start to show them with thumps. And being different means fear of being closed out from social relationships. 

Why people would not get autism diagnoses? The problem is that autism is the diagnosis that is stamped as "mental". This means that autism causes thoughts that this diagnosis has caused that person would kick out of school. 

Autism is a problem with social communication. And that means the autistic person must use more energy in social relationships than the so-called "normal" person. The problem is that society is benefiting so-called "normal" people who are social. And if there is some kind of anomalies in behavior. That means the person is "weird". And especially at a young age, that kind of thing is a catastrophe. 

This means that person would need more energy for creating social relationships. And that thing will bring extra pressure in the life. If the person must always concentrate on behavior and force being social. That thing can drive that person to self-destruction. And that thing is sad to read. 

So is autism the anomaly in the relations of the specific neurons that are controlling certain skills? 

Autism is one of the things that are not researched very well. Things like savant where the person has extraordinary skills in the very thin sector are causing the question, why some person can make the computer program or play some composition. But they cannot make things like cooking potatoes. There is no certain skill that savant autists have. 

Savant-autists might be extraordinarily talented music players. Or they might be extraordinarily talented mathematicians. That thing means that there is might be too many neurons. Those are needed for controlling some special skills. Researchers found so-called math cells in human brains. So there must be "music cells" and "language cells" and "computer programmer cells". 

The new findings like the math-cells in the human brain are causing theories that maybe autism is the disorder in the specialization of neurons. When we are looking at savant-autistic people we sometimes see extraordinary mathematical skills. And that thing means. That there is a possibility. That too many math cell is in their neural structure. So that means autism would be the disorder in the specialization process of the neurons. 

https://scitechdaily.com/high-rate-of-possible-undiagnosed-autism-discovered-in-people-who-died-by-suicide/

https://scitechdaily.com/specific-math-neurons-identified-in-the-brain/

https://scitechdaily.com/new-clues-to-autism-mystery-different-risk-genes-with-same-effects-on-brain-development/

https://scitechdaily.com/treatment-in-early-life-prevents-autism-symptoms-from-developing-in-mice/

 https://en.wikipedia.org/wiki/Autism

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

Researchers are found math neurons in human brains.

Image 1:)

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.

Image 2:)

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/

Could atomic copper and iron in brains cause the Altzheimer?

 Could atomic copper and iron in brains cause the Altzheimer?

Researchers are found atomic iron and copper in the brains of Alzheimer's patients. In an electrolytic environment, the iron and copper nanoparticles form electricity. When we are talking about the things that are causing Altzheimer's disease there can be many things that are destroying myelin cells. 

In some cases, the plaque that is created by caries bacteria can simply cover the outer layer of the myelin cells. Or it can close the ion pumps of the cells. And that thing can deny the nutrient from the cells. In the cases that there is galvanic pair inside the living cells. Electricity that thing creates can burn the cell. The electrolysis that this thing creates can disturb the electrolytic balance in those cells. 

That thing can be one of the answers to the question of what causes this terrifying memory illness? The reason why Alzheimer's patient loses memory is that the axons of the neurons are lost their myelin tube. And that destroys brains. 

There is observed plaque between the synopsis of the neurons. The source for that plaque is mentioned the caries bacteria. If caries bacteria are released in the blood it can create plaque between the synopsis that are the holes between neurons. Because there is plaque the neurotransmitter doesn't travel through that hole. The plaque is acting as an insulator. But what causes the situation where the bacteria can put plaque between neurons?

And the answer could be in those copper and iron atoms that are formed in the neurons. And they are transferred to the myelin cells when they are trying to remove the harmful nanoparticles. 

Those nanoparticles are acting like the small battery in the cell. And that thing has a disturbing effect on the electrolytic liquids and especially on ion pumps of the cells. Sometimes those nanoparticles can simply burn cells or their mitochondria. 

Those elements are forming galvanic pairs in the cells. And they are creating electricity.  That electricity cause a situation that enzymes are not working right in the cells. And if that situation continues too long.  The electricity that those elements are creating effects also to ion pumps of the cells. 

Maybe those iron and copper bites are traveling in the ion pumps of the myelin cells. And that thing destroys those cells. The thing is that the destruction of myelin is causing Alzheimer's disease. 

https://www.alz.org/alzheimers-dementia/what-is-alzheimers

https://www.science.org/doi/10.1126/sciadv.abf6707

Researchers can read the jellyfish's mind.

   

 Researchers can read the jellyfish's mind.

For making new. And more effective BCI chips (Brain-Computer Interfaces). Researchers should know precisely how the neurons are working. In the human brain is 200 billion neurons which is making observation of the actions of single neurons difficult. That's why the research must begin by using species whose neural systems are simpler than humans. And one of them is jellyfish. 

The deep knowledge of the actions of neurons helps to connect certain changes in EEG curves to certain actions in the body. The BCI can make the revolution in nanotechnology and robot control. But when we are thinking about the possibility to model the simple neural structures. Researchers can create new and more independent nanomachines. There are three types of BCI systems that are under development. 

1) The BCI (Brain-Computer Interface) is connected with human brains. And that thing is the thing that is used to control prosthetics. But the same systems can also control robots or give commands to computers. In some systems, the user of the BCI is moving the virtual character on the screen. 

The same system can use to move prostheses can use to move the virtual characters.  And then, the movements are transferred to a physical robot. The BMI (Brain-Machine Interface) is acting through the computers. And it can be the next-generation tool for robots which mission is to operate in extreme conditions. 

2) The microchips that are communicating with cloned neurons. In that case, the half-organic and half-silicon-based microchip can solve problems and control the things like nanomachines very independently. 

This kind of microchip is the neuron cell culture that is connected to the normal microchips. The use of living neurons makes it possible that the small-size system can be very independent. Because the living neurons are giving those systems very high power computing capacity. 

3) The microchips that are used to control animals. The CBI (Computer-Brain Interface) is the opposite acting system. To the BCI where brains are controlling computers.  The CBI system can use to control the behavior of the animals like birds, fishes, and bugs. 

The bugs can carry the sensors to the targets. The microchips are used to make biorobots. And if those microchips are connected to animals they are turned to intelligent. So what would you do with the wolf that has human intelligence? And the implanted microchips can make things like intelligent army ants real. That kind of thing is called ABW (Advanced Biological Weapons) 

But those systems can make things that are beyond the worst nightmares. The CBI or opposite acting BCI microchips can use to control things like ants. And if the microchip is installed on the army ant. That means those systems can use to make those ants act as the eliminators. They can slip into houses and then use to attack people or destroy things like gas masks. Those microchips can turn every bug in the world into a weapon. 

https://scitechdaily.com/caltech-researchers-read-a-jellyfishs-mind/

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

https://interestandinnovation.blogspot.com/

Crystal skulls, annihilation and artificial brains

This text is not handing morals and ethics about the use of the cloned neurons in computers. Those things are the thing that is different from technical solutions. So the law books are the thing that limits this kind of thing. 

The reason why the researchers are interested in the use of cloned neurons is clear. For making more powerful computers the cloned neurons are the ultimate tool. Human brains use 20 watts of electricity and they are much powerful than any known computer. The reason why the cloned neurons are causing problems is that they have their own will. And the second thing is that the cloned neurons are problematic in the point of view of memory handling. Memory handling means that the memories of the neurons cannot remove.

The modern bio- and life support technology can make the modern crystal skull-looking biological computer possible. So are those artifacts attempt to talk with the dead? If somebody steals a corpse for that kind of test that brings prosecution

Maybe the next part of this text is science fiction. But even if the famous crystal skull of the British museum is made to store the dead people's brain waves. In that case, brains will be put in the skull. And then the electricity is put to travel through that tissue. Then it will be stored to record. The fact is that even if that strange artifact could be fake, its purpose could be serious. 

The electricity of the brain the EEG can store to the tape. And then transmit to the brains of other people. But I don't know if this thing is possible to use by using dead brain tissue. The EEG can store easily during the EEG tests. Then that thing can be played by using the record player. 

But the cloned neurons and modern equipment make it possible to create cloned brains. Or in some ideas, the crystal skull can use for making "human robots". In those ideas, the pineal gland of the person would be put in the crystal skull. And the electric signals will send through that organ to the crystal skull. But the thing is that this kind of writings might seem non-scientific. 

And the fact is that there have been made many experiments during history that were not successful. The occultists and other groups made many things that were illegal or against morals. They stole corpses and bones from cemeteries and made many things that are causing imprisonment or even sending them to mental hospitals. 

When the cloned neurons are finishing their mission their memories should remove.  And that is the problem with the "living" or biological computers.  But there has been introduced an idea of the modern "crystal skull". In the chamber will make the artificial brains by using cloned neurons. 

And then that structure will connect to the platform and the decoding system by using neck nerves. Then data will download to the brain structure by using brain-core stimulation. And then the data will put to travel through the brain cells. That thing means that the system will act as the biocomputer. And the heart-lung machine can deliver nutrients for those cells. 

What if the crystal skulls were an attempt to talk with the dead? Or are they more frightening things?

By the way, the tale about the 12 crystal skulls that can destroy the world can be true even if those crystal skulls were fake. There is the possibility that to the eyes of the skull is put the leaf gold. And then the high energetic cathode ray will aim at those eyes. The system might work that behind the skulls is put a magnet and then the cathode ray will strike to leaf gold. That thing can use natural electricity. And if the lightning strikes through the leaf gold layer that can cause an annihilation reaction.

If those artifacts were fakes made for some occultists in the late 19th century. That is not a guarantee that the purpose of those merchandise is legal. There is the possibility that the occultists wanted to "steal" memories of the dead. And then they made those crystal skulls and then put brains in those systems. Then they could conduct the electricity to that thing. And after that, because they were afraid of authorities they took those crystal skulls to the jungle. 

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

https://writingsaboutmysteries.blogspot.com/