The computer model helped to better understand how the human memory works.

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Our brain is a very strange network of neurons that form such complex structures that doctors still do not fully understand how they are constructed. But scientists are not giving up and, not so long ago, thanks to the efforts of experts from Japan, we began to learn more about human memory. In addition, scientists helped to create a special computer model that accurately reflects the functioning of our central nervous system.

Our brain is a very complex mechanism

How the computer helped to understand the brain structure

According to the Science Daily, a group of scientists from the Okinawa Institute of Science and Technology and the RIKEN Research Center have created an artificial neural network to simulate brain function. They were initially interested in how the associative memory is constructed. Associative memory is the ability to bind unrelated elements and store them together in memory. A team of scientists used sequentially localized information patterns to simulate the "processes of memory occurrence" and found that the machine can remember patterns even if they are not the same. However, the information templates have not been moved from one section to another. A new connection was formed between them.

This simple model shows us how the brain processes information in sequential and non-sequential order, "explains Professor Tomoki Fukai, one of the project managers. By simulating neurons with computers, we can understand how memory processing works in our own minds.

One of the principles of memory formation is that cells that work together make connections and synchronize after a while. A simple example is the learning of musical instruments. At first, we find it hard to get used to all these chords and notes, but over time, all brain systems are synchronized and we acquire a faculty that we do not even think about. Everything happens "by itself". Another simple example is learning language, writing or running. Anyway, it's great to learn something new. Our Yandex.Zen page is perfect for that.

An approximate diagram of an associative storage device. Oval – information clusters, lines that connect ovals – associative connections

However, there is a problem with the above scheme – neurobiology believes that there is a kind of equilibrium for the formation of compounds and recalling the functions of excitation and inhibition of the central nervous system, which is postponed in the direction of arousal. Roughly speaking, the central nervous system needs to "work faster" to establish an associative connection. It sounds logical, but it turns out that it is not quite so. Excitation and inhibition functions were incorporated into the computer model created by scientists from Japan, and the latter could act both locally and throughout the neural network. It turned out that it is the inhibitory elements that allow the model to memorize patterns and form memory sections.

See also: Scientists first restored memory in Alzheimer's

Now the scientists want to carry out further studies that confirm their findings in practice. Ultimately, the team plans to develop a more accurate brain-building model and study the processes of memory, perception and elimination of unwanted memories. All this will contribute not only to understanding the functioning of the central nervous system, but also to developing methods of combating diseases associated with memory loss and mental abilities.