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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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High frequency oscillations in relation to interictal spikes in predicting postsurgical seizure freedom

Scientific Reports. 2023. No. 13. Article 21313.
Gerstl J. ., Alina Kiseleva, Imbach L., Sarnthein J., Tommaso Fedele

We evaluate whether interictal spikes, epileptiform HFOs and their co-occurrence (Spike + HFO) were
included in the resection area with respect to seizure outcome. We also characterise the relationship
between high frequency oscillations (HFOs) and propagating spikes. We analysed intracranial EEG of
20 patients that underwent resective epilepsy surgery. The co-occurrence of ripples and fast ripples
was considered an HFO event; the co-occurrence of an interictal spike and HFO was considered a
Spike + HFO event. HFO distribution and spike onset were compared in cases of spike propagation.
Accuracy in predicting seizure outcome was 85% for HFO, 60% for Spikes, and 79% for Spike + HFO.
Sensitivity was 57% for HFO, 71% for Spikes and 67% for Spikes + HFO. Specificity was 100% for HFO,
54% for Spikes and 85% for Spikes + HFO. In 2/2 patients with spike propagation, the spike onset
included the HFO area. Combining interictal spikes with HFO had comparable accuracy to HFO. In
patients with propagating spikes, HFO rate was maximal at the onset of spike propagation

Research target: Biology Psychology
Language: English
Full text
DOI
Text on another site
Keywords: эпилепсиявысокочастотные осцилляцииepilepsyhigh frequency oscillationsepilepsy surgeryInterictal spikes
Publication based on the results of:
Active and passive decoding of neuronal processes of cognition and decision making in normal and pathological brain (2023)
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