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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
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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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Neural mechanisms of cognitive dissonance (revised): An EEG study

Journal of Neuroscience. 2017. Vol. 37. No. 20. P. 5074–5083.
Colosio M., Shestakova A., Nikulin V., Evgeny Blagovechtchenski, Klucharev V.

Cognitive dissonance theory suggests that our preferences are modulated by the mere act of choosing. A choice between two similarly valued alternatives creates psychological tension (cognitive dissonance) that is reduced by a post-decisional reevaluation of the alternatives. Our study demonstrates that choices associated with stronger cognitive dissonance trigger a larger negative fronto-central evoked response similar to error-related negativity (ERN), which has in turn been implicated in general performance monitoring. Furthermore, the amplitude of the evoked response is correlated with the reevaluation of the alternatives. We also found a link between individual neural dynamics (long-range temporal correlations-LRTC) of the fronto-central cortices during rest and follow-up neural and behavioral effects of cognitive dissonance. Individuals with stronger resting-state LRTC demonstrated a greater post-decisional reevaluation of the alternatives and larger evoked brain responses associated with stronger cognitive dissonance. Thus, our results suggest that cognitive dissonance is reflected in both resting-state and choice-related activity of the prefrontal cortex as part of the general performance-monitoring circuitry.

Research target: Earth Sciences Biology Psychology
Priority areas: economics humanitarian
Language: English
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DOI
Text on another site
Keywords: EEGlong-range temporal correlationsEvent-Related Potentials (ERPs)cognitive dissonanceLRTCerror related negativityfree-choice paradigmspread of alternatives
Publication based on the results of:
Активное и пассивное декодирование нейрональных процессов при выполнении когнитивных и нейроэкономических задач (2017)
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