"New research reveals a functional hierarchy in the brain for processing space and time. While the occipital cortex integrates both, the parietal cortex shows mixed mechanisms, and the frontal cortex processes them separately with distinct neural populations." (ScitechDaily, Researchers Unveil How Our Brains Decode Space and Time)
How do we realize time? That is one of the virtual things that our mind makes. We realize time in different ways. When we are walking on safe roads that we know, It's possible that when we think something else, we don't even realize that we are out. What would you do if you could decode time and space as you want? And what do researchers do with knowledge of where the brain impulses form? Those two things can help to control things like stress.
The ability to affect how people realize time is the thing that can make our lives easier. We can turn the "time off" on the long flights. And that thing makes time "travel" virtually faster than otherwise. When we would go to work with things. That requires lots of accuracy. Which means time travels slower in our minds.
When time travels slower in our minds. Our brain routes more signals through our cortex. And when there are more signals. That reaches our cortex. More signals reach consciousness. When more information comes into consciousness. That slows time in our minds.
"The axon initial segment (AIS) is where nerve signals begin, and its adaptability is key to brain function. Scientists have found that the AIS changes in response to activity levels, helping neurons maintain balance. By using advanced imaging techniques, they have observed these changes live for the first time, deepening our understanding of brain plasticity." (ScitechDaily, Neuroscientists Capture Brain Cells Adapting in Real Time)
"When there is low activity in the network, the number of sodium channels in the plasma membrane increases to amplify the output. With high activity in the network, the sodium channels are internalized into the cell through ‘endocytosis’. Credit: Eline Feenstra – Netherlands Institute for Neuroscience" (ScitechDaily, Neuroscientists Capture Brain Cells Adapting in Real Time)
The researchers saw the first time when a signal formed in the neuron. That is one of the most important things when we develop BCI (Brain Computer Interfaces). The BCI or the BCI feedback sensors require the ability to control that process. There is the possibility that the Neuralink-type microchips are history sooner than we expect. The next-generation system can use nanomachines.
The BCI systems not only operate with full-scale computers. They can interact with things like implanted bionic eyes or prostheses. The requirement of the surgery limits the use of that technology. But what if the system communicates with nanotechnology that can autonomously travel to the right point in the human nervous system?
It's possible. The implanter can inject those tiny sensors or receiver-transmitters into blood vessels where they travel autonomously into the right neurons. Those systems can use similar technology as cancer medicines to find the right cells and then it can assemble those sensors around the axon.
Or some other kinds of carriers that allow the system to transport receiver transmitters to the right point in the brain without surgery. The nanomachine that carries that communication tool can be the protein that binds itself around axons. Then the outside receiver-transmitter can communicate with that system.
In the ideal case, the nanomachine can be put into the human or some other creature's body using normal injection. Then those nanomachines will travel to the right neurons. Then they can exchange information with the microchips. Those systems can use electricity that they get from neurons. But they can be tools that seem futuristic. Nanotechnology is a fast-advancing technology. And maybe that thing is true sooner than we expect.
https://scitechdaily.com/researchers-unveil-how-our-brains-decode-space-and-time/
https://scitechdaily.com/neuroscientists-capture-brain-cells-adapting-in-real-time/
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