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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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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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EEG Face Oddball Paradigm as the Test for Emotional Reaction

IEEE, 2024.
Popyvanova A., Pomelova E., Bredikhin D., Koriakina M., Shestakova A., Blagoveshchensky E.
In press

One method for assessing human emotional reactions is considered paradigms involving the presentation of affective images, including facial expressions, which are among the most familiar and noticeable stimuli in our visual environment. Electroencephalography event-related potentials (ERP) to various stimuli are used as sensitive tests for determining categorical perception of specific stimulus modalities. The oddball ERP paradigm, presenting angry and happy faces, could be a test for determining a person's emotional reaction. Our results showed that ERP data revealed major response peaks at 120, 212, and 420 ms (measured by global field power), presumably corresponding to P2, N170, and N400 ERP components. All the peaks exhibited differences in the amplitude of responses to the standard and deviant, suggesting variations in the processing of faces with happy and angry expressions. Cluster analysis showed that at the first peak, there was a cluster of 4 occipital electrodes. At the 2nd peak, there were 3 clusters of 2 electrodes (parietal, frontocentral, parietalocentral) and not a single cluster was found at the 3rd peak.

Research target: Biology Psychology
Language: English
DOI
Keywords: facial expressionsoddball paradigmElectroencephalography (EEG)
EEG Face Oddball Paradigm as the Test for Emotional Reaction
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