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News
June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Скорость обработки гиппокампом контекстуальной информации связана с ее конгруэнтностью ранее сформированным схемам

Журнал высшей нервной деятельности им. И.П. Павлова. 2022. Т. 72. № 3. С. 360–369.
Vorobyova A., Fedele T., Павоне Э. Ф., Зарнтайн Й., Имбах Л., Feurra M.
Language: Russian
DOI
Keywords: конгруэнтностьконтекствызванный потенциалгиппокампассоциативное научение
Publication based on the results of:
Investigations of neuronal mechanisms of cognition and decision making: neuroimaging, computational models and non-invasive brain stimulation (2019)
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Context is increasingly recognised as a critical explanatory variable in accounting for commonalities and differences in human resource management. Giving expression to it in research models holds the prospect of enhancing theory development, deepening our appreciation of embedded practices in diverse territories, and opening up new lines of enquiry. However, contextualisation presents a significant research ...
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A stable relation between words and referent objects or events underlies human language. One of the most fundamental questions is how brain processes new words in order to form new lexical items. The answer to such questions will bring significant breakthrough in multiple fields, ranging from methods of language teaching and speech correction programs for ...
Added: July 12, 2020
Rapid cortical plasticity induced by active learning of novel words in human adults
Razorenova A., Chernyshev B. V., Nikolaeva A. Y. et al., / Series 005140 "Biorxiv". 2019.
Whether short-term learning of new words can induce rapid changes in cortical areas involved in distributed neural representation of the lexicon is a hotly debated topic. To answer this question, we examined magnetoencephalographic phase-locked responses elicited in the cerebral cortex by passive presentation of eight novel pseudowords before and immediately after an operant conditioning task. ...
Added: September 1, 2019
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