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  • Мозговые корреляты удержания и обновления материала в рабочей памяти: фМРТ-исследование здорового старения с помощью эквивалентных вербальных и невербальных задач
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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Мозговые корреляты удержания и обновления материала в рабочей памяти: фМРТ-исследование здорового старения с помощью эквивалентных вербальных и невербальных задач

С. 394–399.
Pechenkova E., Королькова О. А., Паникратова Я. Р., Пчелинцева М. Е., Smirnova A., Mening S., Маковская Л. А., Синицын В. Е.

Working memory (WM) is a system for the short-term storage and processing of a limited amount of information required for a current cognitive activity. WM largely determines a person's cognitive abilities throughout life and has been shown to decline with aging. This decline affects WM updating to a greater degree than maintenance and is more pronounced for non-verbal versus verbal material. At present, relatively little is known about the brain mechanisms underlying these age-related changes, partly due to the difficulties in relating psychological and neurophysiological models of WM. We present fMRI data obtained from sixteen individuals from a healthy aging group (ages 60 - 75) and 16 healthy young volunteers (ages 18 - 35) who performed equivalent verbal and non-verbal versions of the Sternberg task (assessing maintenance) and the N-back task (assessing WM updating) previously developed by our group. The pattern of behavioral results (accuracy and response time) was generally consistent with the existing literature. The fMRI data demonstrated differences between verbal and non-verbal tasks mainly for maintenance but not for updating, in both age groups. Age-related differences in brain activation were revealed for both processes.

Language: Russian
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Keywords: рабочая памятьфМРТfMRIHealthy agingverbal working memoryвербальная рабочая памятьnonverbal working memoryневербальная рабочая память working memoryздоровое старение

In book

Когнитивная наука в Москве: новые исследования. Материалы конференции 25 – 26 июня 2025
Когнитивная наука в Москве: новые исследования. Материалы конференции 25 – 26 июня 2025
М.: Буки Веди, 2025.
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