A.E. Krasnov1, T.N. Krasnova2

1 Russian State Social University (Moscow, Russia)

2 Moscow State University named after M.V. Lomonosov (Moscow, Russia)

Dementia is a disease in which the cognitive abilities (the ability to think) of the patient are impaired. Dementia causes gradual memory loss. The neurobiological cause of the disease is associated with the destruction of the synaptic connections of neurons in some parts of the cerebral cortex. Often there is also dementia due to arterial hypertension, leading to discirculatory arteriosclerotic encephalopathy.

Together with medical and neurobiological research to study the mechanisms of the brain (folding / unfolding of protein molecules, the functioning of the new cerebral cortex - the neocortex), a number of global computer projects (Folding@home, Blue Brain), focused on the use of cloud computing and supercomputers, have been launched. One of these projects (3D Atlas), designed to model the cortical columns of the brain on supercomputers, was carried out in Russia.

At the same time, along with global computer projects focused on numerous neurobiological and molecular models of computer simulation of the brain, it is of considerable interest to consider the simplest functional model of dementia using local neuron-like networks that can be implemented on personal computers.

This paper presents the results of modeling dementia based on a computer simulation of the disruption of synaptic connections in a neural three-layer feed-forward network. The stability of the associative response of the network was studied both in the presence of interference in the synaptic connections of its input peripheral layer, and in the event of a violation of the synaptic connections of neurons in the inner and output neuronal layers. It is shown that a network with three neural layers is resistant to the destruction of its synaptic connections. Thus, the network accurately (at the level of 5% significance) recognizes reference signals that differ in average variation by 13%, in the presence of 10% -15% discord in the setting of synaptic connections of the input peripheral neuron layer and of 10% -30% discord in the setting of synaptic connections of the neural layer. The results of the study demonstrate the mechanism of dementia development through the destruction of the functional connections of the collective interaction of peripheral and internal neuronal layers, which necessitates their constant training.

Krasnov A.E., Krasnova T.N. Dementia simulation based on the disruption imitation of neural network synaptic connections. Technologies of Living Systems. 2022. V. 19. № 3. Р. 22-36. DOI: https://doi.org/10.18127/j20700997-202203-03 (In Russian)

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