“neural network” that connects conscious minds

These results are consistent with my considerations from 2020, in my Sociological Theory, my name is Gregory Podgorniak, Poland

"18. I consider the entire human population in my previous and current considerations. It can be assumed that there is a global culture with some territorial differentiation. Over the past centuries, this culture has gained previously unknown properties. Among other things, the subjugation of electromagnetism and electricity turned out to be key.
Thanks to electricity, it was created as if a new population brain in which communication, like in an ordinary brain, is based on the flow of electricity. The scope of social communication has developed enormously thanks to, among others, radio, television, telephony and the Internet. It is worth noting that the brain model is similarly suitable for describing the older population, except that the brain of this population was less developed. In addition, planetary culture is undergoing globalization, or homogenization, some unification and equalization across the globe. From these considerations, the concept of population as a brain emerges.
It is worth noting here two circumstances, one is the fact that the brain model perfectly agrees with the cognitive theory of the population, if we assume that the model under consideration is the human brain, because in the human brain cognitive processes prevail. The second is that network concepts fit the brain model very well.
For Culture's memory are primarily responsible its products such as books, and now also data carriers. And so on.
The concept of social brain agrees well with the concept of three subpopulations presented earlier. All manual workers, like the brainstem, are responsible for the vital functions of the population. Intelligentsia in turn, like the cerebral cortex, for the cognitive functions of the population. Intermediate layer for intermediate functions. Intelligentsia, due to the fact that it is responsible for the cognitive functions of the social system, seems in a sense much more important than manual workers, just as the cerebral cortex is in some sense more important than the brainstem. However, this does not mean that the importance of workers and other groups apart from the intelligentsia should be underestimated, because they play an extremely important role in society. Just as the brainstem is responsible for the vital functions of an animal or human organism, similarly, say, workers are responsible for the vital functions of society.
For my cognitive theory, the analysis of the neural network turns out to be crucial. In addition to the brain model, a model of the cerebral cortex should be considered. The cortical model would agree with the size of the population at the end of the logistic jump, since the number of cells in the cerebral cortex is about 10 billion. The cortical model also agrees with network concepts.
The brain model and cortical model appear to be justified by Comte's theory of science, in which biology is the basis for sociology, and from which the latter science can draw key models for itself.

19. The basic property of a social system is learning. Knowledge as such is practically social, without social interaction knowledge is almost impossible. It boils down to the existence of mainly books, and today also to such media as the Internet. So the social system learns practically everything. On this path, among others, science was created and developed. As part of the system under study, communication takes place that comes to language, whether spoken or written.
Other important properties of the social system are generalization of experience, adaptation, information processing and recognition. Data analysis in the social system makes it possible to determine the causes of failures of specific projects undertaken in the past, thanks to which it is easier to avoid mistakes in the future. There are ten general properties of our social cognitive system:
1) evolution
2) structure
3) numerical size
4) culture
5) level of culture
6) intelligence
7) memory
8) language
9) knowledge
10) learning

I discussed p. 1-5 earlier. Intelligence for Intelligentsia is heightened. 95 percent of the population has an intelligence in the 70-130 IQ range. For culture's memory are responsible its products such as books, and now also data carriers. The property of memory is related to the science of history. Language is spoken or written. Where the English language has the greatest influence today. Knowledge is mainly collected by Intelligentsia. Learning was discussed earlier.

(year 2020)

...

31. The network concept, the neural network, should be interpreted in an appropriate way. Namely, we are actually dealing with a looser structure in the social domain than a typical network. Relations and dependencies are loose in this structure. So in fact we would be dealing with a quasinetwork structure. And the concept I have presented would ultimately be formulated as a quasineural and quasinetwork theory. The model in this case, as is often the case with models in science, is not a strict equivalent of the modeled process or structure. It is a looser representation of the modeled structure considered by me.
Of course, such a property of a social quasinetwork is simultaneously a property of a social structure. Thus, a social structure and any form of social organization has a loose character. It can be said that society is a loose form of organization.
Some of the ten properties of the social cognitive system listed in paragraph 19 are loose, meaning they can be treated as quasi. These include quasiintelligence, quasimemory, and quasilearning.

(year 2024)"

The full text of my sociological theory is available here:
Edit [Moderator]: Link removed

Thank you.

I hope that my text will interest you and others. And thank you for your thanks.

The concept presented in the first post is very interesting.

If I were to add anything to the results presented in the first post on strictly scientific grounds, I would add that this neural network is not strictly speaking a neural network, but a quasineuronal one.