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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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Review of Experience in the Use of Event-Related Potentials in Studies of the Implicit Component of Cognitive Biases

Neuroscience and Behavioral Physiology. 2025. Vol. 55. No. 1. P. 145–152.
Yatsenko M. V., Brak I. V., E. D. Artemenko

This review addresses the neurophysiological correlates of the implicit component of cognitive biases in perception and decision-making processes. The leading methodological algorithm for analyzing the implicit component of cognitive biases is defined and its selection is substantiated in terms of the objectives of this review. The method based on recording of event-related potentials (ERP) was chosen as the main approach to identifying neurophysiological indicators of implicit processes. Analysis of published data identified ERP components reproduced in studies reported by different authors addressing different types of implicit bias in perception and decision-making in humans, which may point to the existence of common neurophysiological mechanisms associated with implicit processes of bias in cognitive biases. The review also discusses the prospects of using other approaches to analyzing EEG data to obtain new information regarding the phenomenon of implicit bias in decision-making.

Research target: Biology Psychology
Language: English
DOI
Text on another site
Keywords: cognitive biasimplicit componentevent-related potentials (ERP)Implicit Associations Test
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