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International Symposium on Neural Networks

ISNN 2016: Advances in Neural Networks – ISNN 2016 pp 691–697Cite as

Detailed Structure of the Cortical Magnetic Response to Words

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9719))

Abstract

We measured magnetic cortical response to words and analyzed its variability in individual trials. Considerable variations of the amplitudes of different components of the response in different trials suggest hopping of active spot from one point to another within a cortical area responsible for a certain processing stage. This behavior is similar to that observed in experiments with voluntary movement. We believe that only a small fraction of cortical area involved in a certain neural function is active during any particular trial. Next time another spot in the area will be activated. This is the reason of high variability of magnetic signals which are extremely sensitive to the position of the active spot on the folded cortical surface.

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Acknowledgments

We are grateful to T.A. Stroganova and A.V. Butorina who made high quality measurements. Supported by the Grant of the Russian Fund for Basic Research 15-29-03814-ofi_m.

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Authors and Affiliations

  1. Kurchatov Institute, Moscow, Russia

    V. L. Vvedensky

  2. Moscow State University of Psychology and Education, Moscow, Russia

    V. L. Vvedensky & A. Yu. Nikolayeva

Authors
  1. V. L. Vvedensky
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  2. A. Yu. Nikolayeva
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Corresponding author

Correspondence to V. L. Vvedensky .

Editor information

Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. Huazhong University of Science and Tech., Wuhan, Jiangsu, China

    Qingshan Liu

  3. Russian Academy of Sciences, SPIIRAS, St. Petersburg, Russia

    Andrey Ronzhin

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© 2016 Springer International Publishing Switzerland

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Vvedensky, V.L., Nikolayeva, A.Y. (2016). Detailed Structure of the Cortical Magnetic Response to Words. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_79

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  • DOI: https://doi.org/10.1007/978-3-319-40663-3_79

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40662-6

  • Online ISBN: 978-3-319-40663-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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