Abstract
The problem of semantic mapping of the brain is one of the urgent problems in human neurocognitive studies. At the present time there are only few studies reported in the world literature, all of which are made on the material and with the participation of English language native speakers. Russian language can thus become the second language for which this kind of research will be carried out, namely, finding out a correspondence between the semantic classes of the Russian vocabulary and the cortical areas responsible for processing these semantic classes when the text is orally presented. To solve this problem, it is necessary to develop techniques that allow us to investigate cognitive and neurolinguistic mechanisms of perception and understanding of the continuous text segments in natural language. In this paper, we present data on the comparative mapping of the human brain structures involved in the perception of meaningful texts containing technical instructions and literature descriptions of nature.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Luria, A.R.: The main problems of neurolinguistics, 3rd edn. The LIBROKOM Book House, Moscow (2009). (in Russian)
Huth, A.G., de Heer, W.A., Griffiths, T.L., Theunissen, F.E., Gallant, J.L.: Natural speech reveals the semantic maps that tile human cerebral cortex. Nature 532(7600), 453–458 (2016)
Brugman, H., Russel, A.: Annotating multimedia multi-modal resources with ELAN. In: Proceedings of the 4th International Conference on Language Resources and Language Evaluation (LREC 2004), pp. 2065–2068 (2004)
Kotov, A., Zinina, A., Filatov, A.: Semantic parser for sentiment analysis and the emotional computer agents. In: Proceedings of the AINL-ISMW FRUCT 2015, pp. 167–170 (2015)
Shvedova, N.Yu.: The Russian Semantic Dictionary. Azbukovnik, Moscow (1998). (In Russian)
Soch, J., et al.: Inhibition of information flow to the default mode network during self-reference versus reference to others. Cereb. Cortex 27, 3930–3942 (2017)
Verkhlyutov, V.M., Ushakov, V.L., Sokolov, P.A., Velichkovsky, B.M.: Large-scale network analysis of imagination reveals extended but limited top-down components in human visual cognition. Psychol. Russ. State-of-the-Art 7(4), 4–19 (2014)
Acknowledgements
This study was initiated and partially supported by the RSF (grant 17-78-30029, the brain mapping of semantic categories) and by the NRC “Kurchatov Institute” (11.07.2018 № 1649, MR compatible polygraphy). In preparation of experimental material, we also used algorithms developed in framework of two ofi-m projects supported by the RFBR: grant 17-29-02518 on the cognitive-affective structures of the human brain and grant 16-29-09601 on automatic detection of emotional expression in continuous texts. The authors are grateful to the MEPhl Academic Excellence Project for Providing computing resources and facilities to perform experimental data processing.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Ushakov, V.L. et al. (2019). Contrasting Human Brain Responses to Literature Descriptions of Nature and to Technical Instructions. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research II. NEUROINFORMATICS 2018. Studies in Computational Intelligence, vol 799. Springer, Cham. https://doi.org/10.1007/978-3-030-01328-8_34
Download citation
DOI: https://doi.org/10.1007/978-3-030-01328-8_34
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01327-1
Online ISBN: 978-3-030-01328-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)