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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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Patterns of Cortical Activity in a Silent Single-Word Reading Task Depend on Word Frequency and Age-Related Differences: An MEG Study

Psychophysiology. 2025. Vol. 62. No. 11. Article e70192.
Samoylov I., Bolgina T., Lonshakov G., Gomozova M., Arutiunian V., Dragoy O.

This study investigates how word frequency and age modulate the amplitude, temporal, and spatial patterns of cortical activation during silent single-word reading, as measured by magnetoencephalography (MEG). We recorded MEG data from 30 neurotypical adults and 30 typically developing children during a silent reading task involving high-frequency words, low-frequency words, and pseudowords, with cortical activation analyzed using event-related
fields (ERF) and peak latency (PL). In both adults and children, high-frequency words elicited lower ERF amplitudes and faster processing times compared to low-frequency words and pseudowords. While similar neural regions were activated across stimulus types, children demonstrated significantly higher amplitudes and longer processing times than adults. These results indicate that word frequency significantly modulates the neural dynamics of reading, with high-frequency words processed more efficiently. Furthermore, the data suggest that the reading pathways in children are still maturing, as evidenced by their increased neural activation and delayed processing. This developmental 
difference, particularly the demonstration of frequency-dependent processing in the superior temporal gyrus of children, offers unique evidence for the maturation of distinct lexical and sublexical reading pathways, consistent with the dual-route cascaded theory.

Research target: Humanities Psychology
Language: English
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Keywords: word frequencymagnetoencephalographyreading developmentdual‐route cascaded (DRC) modelsingle word reading
Publication based on the results of:
Neural foundations of language and its impairments: From basic research to clinical practice (2025)
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