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News
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.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Снижение устойчивости ээг-паттернов, соответствующих разным типам мышления, при шизофрении

Журнал высшей нервной деятельности им. И.П. Павлова. 2016. Т. 66. № 5. С. 579–589.
Baklushev M., Иваницкий Г. А., Атанов М. С., Иваницкий А. М.

It has been shown in the previously performed experiments that it is possible to "recognize" by the EEG data the type of thinking and to know what kind of task (spatial or verbal-logical) is solving currently. This article describes the application of this technology to the study of schizophrenia patients. We obtained data about the essential difficulty of such recognition in schizophrenia patients, correlation of these difficulties with the severity of negative symptoms. It is shown that the difficulty of recognition is associated with higher variability of rhythmic EEG patterns, intrinsic for particular type of thinking.

Research target: Basic Medicine
Language: Russian
Full text
DOI
Keywords: ЭЭГшизофренияпродуктивная симптоматиканегативная симптоматика
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