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News
October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.

 

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EEG Correlates of Decision-Making and Preparation of Saccades in Human

International Journal of Psychology. 2014. Vol. 1. No. 1. P. 68–73.
Moiseeva V., Slavutskaya M., Kotenev A., Karelin S., Shulgovskiy V.

A modificated version of experimental   scheme "double step" was used to study the decision- making process in saccade programming. Two short visual    stimuli were presented sequentially in opposite hemifields    (scheme pulse overshoot). The “pattern” of response    (double saccade or single saccade at the second target) and    latency of the first saccade depended on the duration of    the first stimulus (150 or 50 ms). Positive ERP components    were revealed within the interval 100 - 120 ms before    the saccade onset by using the method of selective EEG    averaging. These potentials can be considered as markers    of the decision-making process. The parameters and    topography of these components indicate involvement of    the frontal-parietal neural network of saccadic control and    frontal-parietal-and medial-thalamic activation systems of    selective attention at the stage of decision-making process.

Priority areas: humanitarian
Language: English
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Keywords: decision-makingпринятие решениявызванные потенциалыERPspositive componentsaccade programmingпозитивный компонентсаккадические движения глаз
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