Abstract
The article presents the result of fMRI data processing - a map and characteristics of brain activity in the process of monitoring human speech activity. Experimental data calculated by 8 subjects. The main goal of the work was to localize the spatial and temporal dynamics of the neural networks of the cortex, which is responsible for the mechanism of verbal control. The secondary goal of the work was to recognize and remove noise components from the fMRI signal, which are related to human physiology and a feature of the test items.
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Korosteleva, A., Ushakov, V., Orlov, V., Stroganova, T., & Velichkovskiy, B. (2020). Neurophysiological Correlators of Semantic Features. In Advances in Intelligent Systems and Computing (Vol. 948, pp. 240–245). Springer Verlag. https://doi.org/10.1007/978-3-030-25719-4_31
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