Our brain is a very strange organized network of neurons that form such a complex structure that doctors finally figured out how they work, and to this day. But scientists do not give up and not so long ago thanks to the efforts of experts from Japan, we have to know about human memory a little more. And scientists have helped make this a special computer model, which accurately reproduced the functioning of our Central nervous system.
How computer have helped to understand the structure of the brain
According to the publication Science Daily, a team of scientists from the Institute of science and technology of Okinawa and the research center RIKEN has created an artificial neural network for modeling the brain. Primarily they were interested in how associative memory. Associative memory is the ability to bind unbindable items and store them in memory together. A team of scientists used a consecutive patterns for information modeling “processes of emergence of memory” and found that the machine is able to memorize the patterns, even if they do not like each other. The template information is not “moved” from one area to another. Between them formed a new relationship.
This simple model shows us how the brain processes pieces of information given in the sequential and not sequential order, explains Professor Tomoki Fuca, one of the leaders of the project. Simulating neurons with the help of computers, we can begin to understand how the processing of memory in our own mind.
One of the principles of memory formation is that the cells that function together, form a connection with each other and after some time are synchronized. A simple example — learning to play musical instruments. First, it is difficult for us to get used to all these chords and notes, but over time all systems of the brain are synchronized and we acquire skill on application of which not even think about. Everything is “self”. Another more simple example — teaching speech, writing or walking. Anyway, to learn something new — great. This will perfectly suit our page in Yandex.Zen.
However, there is one problem in the above scheme, neuroscience believes that forming connections and remembering functions of the excitation and inhibition of the Central nervous system are in a certain balance shifted towards excitation. Roughly speaking, in order to form the Association, the CNS needs to “work faster”. Sounds logical, but it was not so. In a computer model, created by scientists from Japan, was embedded with the functions of excitation and inhibition, the latter can act both locally and throughout the neural network. It turned out that inhibitory elements allow the model to memorize patterns to form a memory.