Brain Interface: Nano-Scaled Device as an Improvement in the Process of Learning

Introduction

The process of managed study which the author considers here is the process which goes under the control of the brain interface (Galiautdinov, R., 2020). The nano-scaled device which is used as a brain-interface allows learning something new. Such the approach was suggested to use in the Avatar related project (Galiautdinov, R. & Mkrttchian, V. 2019 A).

Initially it was considered that the process of study involves all the appropriate neurons into the work and consequently the more neurons you have - the more success you achieve during the process of study (Galiautdinov, R. & Mkrttchian, V., 2019 B). However any thinking process involves the signals from many different brain areas, some of the signals might be considered as random simply because they are not related to the exact subject of the thinking. And it’s noticeable that when a person starts thinking about something then eventually the person gets unrelated thoughts during the period of less than 2 minutes. The other (unrelated) thoughts might be caused by different sounds, visions, etc. which are not the subject of some major thought. Consequently the brain is trying to process all the other “input requests” which effect on the progress of the “major” thought. And this is considered as concentration which is extremely important during the process of study of something new and something important.

One of the most important parts in the process of study is concentration which allows a person to focus strictly on the subject of the study excluding all the other unrelated subjects. The basic idea of concentration is enclosed in the fact that our brain “shuts down” the activity of “unrelated” neurons, “unrelated” “input requests” and grants priority to the neurons which are responsible for the subject of the study or the ”major thought”.

You can simply notice that you can’t do several things at the same time on a high level of quality: as an example, try to learn some complex math theorem and listen to the new music at the same time. Then you can compare: the progress of the study and whether you fully felt the new music and can still remember what was it about. Another example of inability of our brain to process multiple “input requests” at the same time is the example when somebody receives multiple touches at the same time. It’s a fact that any person can process not more than five touches at the same time and such the fact is used by the swindlers.

That also shows that any test based on multiple “input requests” (such as TOELF, IELTS, etc.) is scientifically invalid simply because our brain can’t process multiple “input requests” at the same time.

Thus effective study requires “shutting down” the “noise” which is received from the other neurons and giving priority only to the neurons responsible for the subject of the study.

The work related to a cortical filter that learns to suppress the acoustic consequences of movement showed an example of mice how the brain learns to suppress noise associated with our daily activities (Schneider, D., Sundararajan J. & Mooney, R. 2018).

To do this, the researchers made the animals to run on the simulator, replacing the sound of their steps with another, dissimilar sound. The work of researchers allows us to understand how we learn to talk and play instruments.

The source of sounds can be both the environment and our own actions, such as running, talking or breathing. The ability to anticipate “background” noises and to distinguish them from external sounds is necessary for normal hearing, but the neural circuits that learn to predict them remained largely unknown (Schneider, D. M., Nelson, A. & Mooney, R., 2014).

To find out how the noise canceling process works at a neural level, David Schneider along with his colleagues from Duke University and New York University School of Medicine, taught 11 mice to associate their steps with extraneous sound. The researchers developed an acoustic virtual reality system in which animals with a fixed head ran along the treadmill and at the same time heard a short audio recording that was played to the beat of their steps. Thus, scientists “assigned” a new, completely unnatural sound to everyday movement (Rummell, B. P., Klee, J. L. & Sigurdsson, T., 2016).