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July 24, 2026
‘I Like Self-Fulfilling Prophecies
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.

 

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EEG evidence for reproducible neural states during Buddhist Highest Yoga Tantra meditation

Scientific Reports. 2026. Vol. 16. Article 23560.
Mikhaylets E. V., Razorenova A. М., Chernyshev V. L., Norbu N., Sangpo L., Zhironkina Y. S., Kaplan A. Y.

Meditation offers a naturalistic paradigm for studying introspection, yet the neural dynamics of advanced tantric practices remain largely unexplored. Buddhist Highest Yoga Tantra (BHYT) comprises a sequence of eight dissolution stages culminating in the “clear light” state. We recorded EEG during eyes-closed BHYT meditation performed in monasteries and hermitages (51 sessions from 36 male practitioners; age 31–69 years); analyses compared sessions within this single cohort, and some participants contributed multiple sessions. Using a state-detecting algorithm that combines EEG power spectrum and EEG synchronization features, we segmented each session into discrete EEG-defined states and clustered them. Six reproducible state types emerged, forming three symmetric pairs dominated by delta, alpha/theta, and beta/gamma activity, along with two background-like states. Representing each meditation as a 8-symbolic alphabet sequence enabled quantitative comparison across sessions and practitioners. Although all followed the same canonical BHYT protocol, sequences differed systematically and formed six meditation clusters. Greater expertise was associated with longer and more diverse states within a meditation, with increased presence of oscillatory alpha/theta and beta/gamma states, whereas lower-experience sessions were represented by shorter sequences dominated by background or delta activity. These findings suggest BHYT practice unfolds as structured neural state sequences and provide a quantitative bridge between canonical contemplative descriptions and measurable EEG dynamics.

Research target: Computer Science Mathematics Biology
Language: English
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Keywords: кластеризация временных рядовtime-series clusteringEEGЭЭГmeditationмедитация
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