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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.
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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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Functional Brain Connectivity and Musical Training: Insights from EEG Phase Synchronization during Music Perception

Herald of the Russian Academy of Sciences. 2025. Vol. 95. No. 6. P. 963–970.
A. Radygina, S. Kulikova

Musical training has a significant impact on brain organization, leading to functional and structural
adaptations that enhance auditory, visual, motor, and cognitive processes. This study investigates how
extensive musical training shapes functional brain connectivity by comparing professional musicians and
non-musicians. Using EEG phase-locking value (PLV) analysis, we examined neural synchronization across
alpha, beta, and gamma frequency ranges during music perception in tasks with different forms of musical
graphic notation. Our results have shown that musicians demonstrated significantly enhanced functional
connectivity, reflecting a superior ability to integrate auditory, visual, and cognitive information. Specifically,
in the alpha band, musicians showed strong occipital-temporal connectivity across all tasks, with additional
parietal-temporal synchronization during tasks lacking pitch information. Analysis of the beta band activity
revealed significant frontal-temporal connectivity, indicative of enhanced cognitive processing, and task-specific
temporal-occipital synchronization. In the gamma band, musicians exhibited robust frontal-temporal
and frontal-frontal synchronization, associated with advanced emotional and structural music processing. In
contrast, non-musicians displayed reduced, less specialized connectivity patterns, relying on more generalized
cognitive strategies. These findings provide clear evidence that musical training induces profound functional
adaptations in the brain. The enhanced and more efficient cross-regional synchronization in musicians
underscores the role of long-term training in fostering advanced multimodal integration and cognitive flexibility,
which facilitates sophisticated music perception and analysis.

Research target: Psychology Biology
Language: English
Full text
DOI
Text on another site
Keywords: музыкасвязностьmusicвосприятиекогнитивные процессыperceptionEEGЭЭГcognitive processesинтеграция информацииinformation integrationconnectivity
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