Traffic noise can decrease cognitive abilities.

Sleeping problems are opening the road for finding out why people see dreams. So many researchers highlight the REM periods of sleep. But also the other periods of sleep have a purpose. Deep sleep periods are the most mysterious things in sleep. 

Most of the sleep is deep sleep or delta-sleep. And things that happened during those periods are a mystery. And there is the possibility that a person sees dreams during those periods. But the REM period just before awakening wipes those things out of the memory. 

But the fact is that REM (Rapid Eye Movements)  sleep is only a short period of sleep. And also, deep sleep periods are important things for the quality of sleep. The thing is that deep sleep period are important so that brains can rest. 

During those periods brains are loading their neurotransmitters. So maybe the other purpose of the REM period is to test the neural tracks for the next day. And maybe another reason for the REM period is that it's the indicator that brains realize the level of sleep. 

Some researchers believe that the purpose of the REM period is to wipe out things that a person saw during deep sleep periods. But there might be many purposes for REM sleep. And one of them might be to prepare the person for the next day. 

Even low-level traffic noise can decrease cognitive abilities. The fact is that the traffic noise will keep the person awake.  And it can decrease the level of sleep. And that causes the quality of sleep decreases. The increasing level of the REM periods is causing a situation where some neurotransmitters get lower and that causes that in the morning person will be tired. Good and effective sleep also requires so-called deep sleep periods because brains are loading their neurotransmitters during deep-sleep periods. 

The brains will load neurotransmitters during those periods. And the purpose of REM sleep could be to test the neural tracks. Maybe one of the purposes of REM sleep is to prepare people for the next day. There are also some psychological purposes for that thing that we call sleep. In some models during sleep person will analyze the things that are too hard to handle when a person is awake. 

But the REM sleep along with its dreams is a so-called light dream. The purpose of a light dream is when something is felt threatening.  If a person is in the REM period, the person can wake up very fast. So maybe the purpose of REM sleep is to act as a mark that the level of sleep is at a certain level, where fast waking and acts just after that is possible. 

The traffic noise would make brains feel that person is under some kind of threat. And that keeps the sleeper almost awake. The traffic noise can mean that the car is driving over that sleeper. Especially when traffic noise suddenly starts after midnight brains have problems getting back to sleep. 

When a person sleeps, the brain cannot make difference between real- and hypothetical threats. There are no virtual threats in nature. So traffic noise is more harmful to sleep quality than it should. And even low noise traffic can cause the quality of sleep decreases. That thing causes problems with cognitive actions. 

When a person is tired that thing affects the ability to concentrate and think. The traffic noise is the mark of hypothetical threats as I wrote earlier. And the problem with human brains is that they are created to make a person survive in dark forests where all threats are real. That's why human brains are taking all things seriously. 

https://scitechdaily.com/bad-things-happen-after-dark-scientists-call-for-new-research-on-how-our-brains-change-when-were-awake-after-midnight/

https://scitechdaily.com/traffic-noise-can-slow-cognitive-development/

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The brains will be predicting their perception.

 The brains will be predicting their perception.

Brains are predicting their perception. And that thing makes them energy efficient. When the information comes from the senses, it will not activate all neurons immediately. 

 When the signal comes as an example from the eyes to the optic lobe.  At the occipital, there is also a system or a group of neurons which mission is to recognize threats. If those neurons would not recognize the threat they will send that signal to the optic lobe. There the signal will transmit to the activator neurons that are selecting the tracks. 

Where the optic lobe preprocesses and resends senses signals, they reach the activator neurons. Those neurons will not activate all neurons right away. Their mission is to tell can the neuron group handle the data that is sent. 

When the signal comes to neural structure, only a couple of neurons that mission is to route the signal to the right neuron group will activate. They are waiting for the response. And if some neuron group recognizes the signal they send the positive mark. Then the sending lobe would send the standby signal to leading neurons of the neuron group. 

 And then it starts to activate other neurons. In the brain, all neurons do not handle the same things. So the system works like this. The optic lobe sends the part of the sense to the different groups of neurons. And if some group recognizes the sense they are sending the signal "send the rest" and then the optic lobe will send the rest of the data. 

The reason why this thing is made in the brain is simple. The purpose of that thing is to deny that the brains would use too many neurons for some action. And that guarantees that there are always free neurons that can use for some emergency condition. 

The reason why human brains are using the network-type protocol is simple. That means there are many different types of cells with many different types of abilities is to make sure that while the person is thinking the brain can also observe the things that happen around the person. 

The signal must find the right neuron group, and then it will start to activate the other neurons that are handling that kind of data. When the information reaches the right neuron group it will activate the key or leading neuron which, calls other neurons to handle the things. In the computer world, this ability is called "preprocessing". 

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What if the quantum computer can predict how many layers does it need for some data rows?

If quantum computers could predict how many layers or states it needs would make it more effective. That thing makes it possible that the quantum computer can handle multiple problems at the same time. 

If the quantum computers would have a similar process. That allows it to predict how many layers it needs for some processes that thing makes them more effective. In the network-based systems, there might be the pre-selectors that are preprocessing data. In those cases, there could be an AI-based system. 

That selects the necessary computing systems for the processes. The AI-based system would guarantee that the top processors are not overloaded. That system has the descriptions of the problems that are needed the quantum systems.

And if the problem doesn't fill those descriptions, that problem can send to conventional computers. Or the AI can determine how many states quantum computer uses for the problem. But if the calculation will take too long, that second route will send data to the quantum system. Or it can take more layers for handling the more complicated data than predicted. 

Human brains are an impressive tool. They are using less power than some pocket lamps. So modeling the processes in the brain is making it possible to create more effective and compact quantum computers. That can operate on a longer temperature scale. 

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Brains can handle many things at the same time. And they can operate in all temperatures. But the most impressive thing is that human brains are so compact. 

Even the smallest quantum computers are extremely large in comparison with human brains.  So what if we would try to make the computer which is so compact and has the same abilities we are facing one of the biggest problems in the world.

There is the possibility to make artificial neurons by using the nanomachines that are acting like neurons. But the problem is that there needed 200 billion nanomachines for making that thing. 

When we are trying to model the functions of the human brain we must start from the inside out. While that process, we must know that all elements and structures in the brain and body have a purpose. There is an organ called the "pineal gland" inside the human brain. The signal that activates brains is maybe coming from that organ. 

Then the magnetite bites that are in the connection point will anneal by using electromagnetic radiation. When the temperature of the magnetite rises it will strengthen the magnetic field of the magnetite. 

Then that thing pulls the iron bites to the right point of the axon. In some artificial neuron models, that small sodium or iron bites are replaced by using springs.  The neurotransmitters are acting like chemical qubits. There is an element like iron to aim that chemical qubit over the synaptic cleft. And then that neurotransmitter touches the layers of the axon. 

That thing activates the electric reaction. So this reaction can happen when the iron in the neurotransmitter faces the sodium. There might be a series of iron and some neutral atoms. 

And that thing makes it possible to send the electromagnetic impulses in a certain order to axons. So if we can model that kind of process in the quantum computer. We can make the new type of more powerful computers than ever before. This thing is only the model that must handle if somebody is trying to make artificial brains. 

https://www.quantamagazine.org/to-be-energy-efficient-brains-predict-their-perceptions-20211115/

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The new waves about the mobile technology

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