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  • Возможности методов нейровизуализации и нейростимуляции для развития теории системной динамической локализации высших психических функций
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Возможности методов нейровизуализации и нейростимуляции для развития теории системной динамической локализации высших психических функций

Культурно-историческая психология. 2022. Т. 18. № 3. С. 70–80.
Паникратова Я. Р., Vlasova R., Лебедева И. С., Синицын В. Е., Pechenkova E.

The theory of systemic and dynamic localization of higher mental functions by Lev Vygotsky and Alexander Luria was based on the data obtained via an original method, syndrome analysis of deficits of higher mental functions in patients with local brain injury. When this theory was being constructed, technical methods for brain investigation were only in their early stages. Although in later years Luria and his disciples pointed out that such methods were prominent for further development of Soviet/Russian neuropsychology, they are still rarely used by the followers of these scientists. In this article, we focus on neuroimaging and neurostimulation methods that are both noninvasive and the most accessible in Russia: structural, diffusion-weighted, and functional magnetic resonance imaging, as well as transcranial magnetic stimulation. We discuss their scope and perspectives for addressing research questions in neuropsychology and describe possible designs for neuropsychological studies in patients with local brain injury and healthy individuals.

Research target: Psychology Basic Medicine
Language: Russian
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Keywords: нейропсихологияneuropsychologyА.Р. Лурияneuroimagingнейровизуализациятранскраниальная магнитная стимуляцияfunctional MRIфункциональная МРТTranscranial magnetic stimulationAlexander Luriastructural MRINeurostimulationDiffusion-weighted MRItheory of systemic and dynamic localization of higher mental functionsнейростимуляциятеория системной динамической локализации ВПФструктурная МРТдиффузионно-взвешенная МРТ
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