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News
September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Активность мышц нижних конечностей в условиях управления нейроинтерфейсом: нейроинтерфейс, основанный на воображении тыльного сгибания стоп

Журнал высшей нервной деятельности им. И.П. Павлова. 2025. Т. 75. № 3. С. 313–326.
Решетникова В. В., Боброва Е. В., Гришин А. А., Вершинина Е. А., Богачёва И. Н., Щербакова Н. А., Исаев М. Р., Bobrov P., Герасименко Ю. П.

Neurorehabilitation of motor functions using a neurointerface (BCI) with feedback is a modern promising area of research. However, there is very little data on muscle activity during the motor imagery of lower limb – an important aspect of rehabilitation. The EMG activity of the lower limb muscles was studied in 42 healthy participants which control BCI, based on kinesthetic motor imagery of dorsiflexion of the feet and supplemented by a robotic device for moving the limbs “Biokin” (mechanotherapy), activated in case of successful motor imagery. It is shown that BCI control leads to an increase in the activity (averaged all over the participants) of the muscle, whose movement provides an imaginary movement in reality – the tibialis anterior (TA). In addition, the activity of the gastrocnemius muscle – the antagonist of TA – increases, which is apparently associated with the instruction to imagine, but not to make a movement. Activation of the mechanical training device (AM) additionally increases TA EMG (up to 100-200%) and weakly but significantly (by 3–5%) reduces the activity of the thigh muscles (quadriceps and left biceps). Therefore, AM increases the targeting of the downward signal that occurs during the motor imagery. Muscle reactions to the motor imagery are individual. Thus, the use of BCI based on the motor imagery of dorsiflexion of the feet and the use of the mechanical training device, which ensures the closure of the feedback loop when imagining this movement, contributes to the targeted activation of TA – the muscle that provides dorsiflexion of the foot, which is important for the clinical rehabilitation of paretic foot movements.

Research target: Biology Medical Technologies
Language: Russian
Full text
Keywords: motor imageryнейроинтерфейсBCIЭМГEMGneurointerfacemechanical training devicefoot dorsiflexionмеханотренажервоображение движений
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