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Analysis of Visual Sensory Processing in the Brain and Brain-Computer Interfaces for Human Attention Control

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Wavelets in Neuroscience

Part of the book series: Springer Series in Synergetics ((SSSYN))

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Abstract

This chapter describes using wavelet analysis to study mechanisms of visual perception. First, we introduce an ambiguous visual stimulus, the Necker cube, a useful visual perception analysis tool. Second, we demonstrate how the wavelet-based methods reveal the local and network properties of the percept-related brain activity. Then, we considered the effect of the human condition (motivation and alertness) on the perceptive process. Finally, we review the basic principles of the brain-computer interfaces that use the wavelet-based algorithm to evaluate the human state in visual perception tasks.

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Authors and Affiliations

  1. Innopolis University, Innopolis, Russia

    Alexander E. Hramov & Vladimir A. Maksimenko

  2. Saratov State University, Saratov, Russia

    Alexey A. Koronovskii & Alexey N. Pavlov

  3. Complutense University of Madrid, Madrid, Spain

    Valeri A. Makarov

  4. Institute of Higher Nervous Activity and Neurophysiology, Moscow, Russia

    Evgenia Sitnikova

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  1. Alexander E. Hramov
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  2. Alexey A. Koronovskii
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  3. Valeri A. Makarov
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  4. Vladimir A. Maksimenko
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  5. Alexey N. Pavlov
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  6. Evgenia Sitnikova
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Correspondence to Alexander E. Hramov .

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Hramov, A.E., Koronovskii, A.A., Makarov, V.A., Maksimenko, V.A., Pavlov, A.N., Sitnikova, E. (2021). Analysis of Visual Sensory Processing in the Brain and Brain-Computer Interfaces for Human Attention Control. In: Wavelets in Neuroscience. Springer Series in Synergetics. Springer, Cham. https://doi.org/10.1007/978-3-030-75992-6_8

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