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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Acknowledgments
This work was in part supported by the Russian Science Foundation, Grant 18-11-00336 (data preprocessing algorithms) and by the Russian Foundation for Basic Research grants ofi-m 17-29-02518 (study of thinking levels). The authors are grateful to the MEPhI Academic Excellence Project for providing computing resources and facilities to perform experimental data processing.
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Korosteleva, A., Ushakov, V., Orlov, V., Stroganova, T., Velichkovskiy, B. (2020). Neurophysiological Correlators of Semantic Features. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_31
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DOI: https://doi.org/10.1007/978-3-030-25719-4_31
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