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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Улучшение распознавания звуков после их предъявления во время сна.

Журнал высшей нервной деятельности им. И.П. Павлова. 2018. Т. 68. № 5. С. 614–626.
Украинцева Ю. В., Liaukovich K., Sake K. L., Полищук А. А., Martynova O.

At present, the effect of targeted memory reactivation during slow-wave sleep (SWS) on auditory recognition remains unexplored. We tested a possibility to improve recognition of difficult sounds after their presentation during SWS and the correlation of recognition with electrophysiological parameters of brain activity in two groups of healthy volunteers. For the main group of subjects, after two consecutive sessions of recognizing one of the two deviant sounds in the oddball paradigm, we presented only one sound during the SWS in a different sequence. In the control group, we played the same sequence with a new deviant sound during the SWS. For the main group after daytime sleep, we observed a significant improvement in recognition of that sound, which was repeatedly presented during the SWS stage. This improvement was accompanied by an increase in the amplitude and a decrease in the latency of Mismatch Negativity (MMN) – a component of the eventrelated potential. The control group had no significant changes in the sounds’ recognition and in the parameters of MMN after sleep. Our data indicate that targeted reactivation of auditory memory during SWS may contribute to better recognition of sounds, and this progress correlates with electrophysiological patterns of brain activity.
 

Research target: Psychology
Priority areas: humanitarian
Language: Russian
Full text
DOI
Keywords: ЭЭГвызванные потенциалыНегативность рассогласованияреактивация памятимедленно-волновой сонслуховое распознавание
Publication based on the results of:
Active and Passive Decoding of the Neural Processes During Cognitive Perfoemance and Neuroeconomic Tasks Execution (2018)
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