Paper
17 March 2016 Demonstration of brain noise on human EEG signals in perception of bistable images
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Abstract
In this report we studied human brain activity in the case of bistable visual perception. We proposed a new approach for quantitative characterization of this activity based on analysis of EEG oscillatory patterns and evoked potentials. Accordingly to theoretical background, obtained experimental EEG data and results of its analysis we studied a characteristics of brain activity during decision-making. Also we have shown that decisionmaking process has the special patterns on the EEG data.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vadim V. Grubov, Anastasiya E. Runnova, Maria K. Kurovskaya, Alexey N. Pavlov, Alexey A. Koronovskii, and Alexander E. Hramov "Demonstration of brain noise on human EEG signals in perception of bistable images", Proc. SPIE 9707, Dynamics and Fluctuations in Biomedical Photonics XIII, 97070Z (17 March 2016); https://doi.org/10.1117/12.2207390
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Cited by 3 scholarly publications.
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KEYWORDS
Electroencephalography

Wavelets

Brain

Visualization

Continuous wavelet transforms

Neuroimaging

Oxygen

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