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Neurophysiological Correlators of Semantic Features

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 948)

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.

Keywords

Brain Neural network activity fMRI Speech Semantic networks 

Notes

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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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)MoscowRussia
  2. 2.NRC “Kurchatov Institute”MoscowRussia
  3. 3. Center for Neurocognitive Research (MEG Center)Moscow State University of Psychology and EducationMoscowRussia

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