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Subject
News
October 1, 2026
HSE Researchers Show How Congenital Motor Disorders Affect Brain Development
Researchers from HSE University’s Institute for Cognitive Neuroscience have synthesised the findings of their previous studies on brain development in children with obstetric brachial plexus palsy and arthrogryposis. Their analysis shows that impaired motor function in early childhood not only limits children’s motor experience but also affects memory, categorical thinking, and information processing. The study has been published in Frontiers in Psychology.
October 1, 2026
Window into the Body: Scientists Develop Neural Network to Detect Risk of 15 Diseases from Retinal Images
Russian universities, with the participation of HSE University, Sber, and Z-union, have developed a neural network that can simultaneously assess the risk of 15 types of pathology from retinal photographs, including not only eye diseases but also cardiovascular conditions. The AI system can help clinicians detect potentially concerning changes at an early stage, identify signs reflecting the condition of retinal blood vessels, and determine whether a patient may need further examination. The paper has been published in Frontiers in Medicine.
September 30, 2026
'We Did Not Limit the Time for Questions'
The International Laboratory for Supercomputer Atomistic Modelling and Multi-Scale Analysis at HSE University held a major conference on molecular dynamics. Participants had the opportunity to attend all the presentations, while speakers were given as much time as they needed to answer questions. The HSE News Service interviewed Grigory Smirnov, Head of the Laboratory, and Genri Norman, Chief Research Fellow, about the conference preparations and the discussions it generated.

 

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Тренировки представления движения и интерфейс мозг-компьютер в когнитивной реабилитации

Журнал неврологии и психиатрии им. С.С. Корсакова. 2025. Т. 125. № 11. С. 27–35.
Лабор В. В., Mokienko O., Черкасова А. Н., Иконникова Е. С., Люкманов Р. Х., Супонева Н. А.
Research target: Medical Technologies Clinical Medicine Psychology Computer Science
Language: Russian
Full text
DOI
Text on another site
Keywords: нейрореабилитацияcognitive functionкогнитивные функцииneurorehabilitationmotor imagerybrain-computer interfaceинтерфейс мозг-компьютерпредставление движения
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Ambivalence/hesitancy recognition in unconstrained videos is a challenging problem due to the subtle, multimodal, and context-dependent nature of this behavioral state. In this paper, a multimodal approach for video-level ambivalence/hesitancy recognition is presented for the 10th ABAW Competition. The proposed approach integrates four complementary modalities: scene, face, audio, and text. Scene dynamics are captured with ...
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Abstract Context and relevance. The simultaneous presence of three to five age cohorts within a single organizational space makes intergenerational tension in contemporary organizations increasingly systemic, raising the need for a theoretical understanding of the nature and mechanisms of intergenerational conflicts. Objective. The article aims to provide a theoretical analysis of the phenomenon of intergenerational ...
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Do Cognitive Abilities and Rationality Protect Against Susceptibility to Epistemically Unwarranted Beliefs?
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Background and research problem. The prevalence of epistemically unwarranted beliefs makes it critically important to study human cognitive capacities to resist indoctrination by pseudoscientific, conspiracist, and paranormal doctrines. The research problem addressed the question of whether cognitive abilities and rationality protect against susceptibility to epistemically unwarranted beliefs. Objective. To present a theoretical analysis of contemporary ...
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Decoding Algorithms for Binary U-UV Codes: A Unified Survey of Performance and Complexity
Ivanov F., Kotov F., IEEE Access 2026 Vol. 14 P. 104662–104679
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The EG-TD3 Machine Learning Architecture: Evolutionary-Guided Twin Delayed Deep Deterministic Policy Gradient
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Восемнадцатый выпуск серии учебно-методических пособий «Подготовка профессионалов для нового образования» посвящен преподаванию курса по метакогнитивной регуляции обучения на магистерской программе «Педагогическое образование» Института образования НИУ ВШЭ. Пособие систематизирует современные знания о природе, диагностике и развитии саморегуляции в образовании и призвано восполнить дефицит качественных русскоязычных публикаций, интегрирующих достижения отечественной научной школы и передовые международные исследования. Пособие ...
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PREDICTING OUTCOMES OF THE ACUTE PHASE OF COVID-19. HIGH SENSITIVE PROGNOSTIC MODEL, BASED ON THE RESULTS OF THE INTERNATIONAL REGISTRY “ANALYSIS OF CHRONIC NON-INFECTIOUS DISEASES DYNAMICS AFTER COVID-19 INFECTION IN ADULT PATIENTS” (ACTIV)
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Added: September 28, 2026
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Added: September 28, 2026
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Added: September 28, 2026
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Added: September 28, 2026
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We report a high-performance implementation of the resolution-of-the-identity Hartree–Fock method that fully exploits the permutational symmetry of three-center electron repulsion integrals (ERI). The present implementation adopts a hybrid MPI+OpenMP parallelization strategy. Two different algorithmic approaches (with and without the pre-transformation of ERIs) are compared. A custom data layout introduced previously is employed. Designed to efficiently ...
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Создание методик диагностики на основе анализа движений глаз является особенно актуальным для оценки когнитивных функций у детей, которые не могут дать речевой или моторный ответ в силу своего возраста или из-за нарушений развития. Для таких детей использование объективных методов оценки когнитивных функций на основе айтрекинга может стать полезным диагностическим инструментом, дополняющим традиционные поведенческие опросники и ...
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Motor imagery perspective shapes corticospinal excitability with effector-specific effects
Perevoznyuk G., Batov A., Pleskovskaya A. et al., Scientific Reports 2026 Vol. 16 Article 13098
Motor imagery (MI) allows individuals to mentally simulate movements without execution, engaging neural pathways that overlap with those used during real actions. However, how imagery perspective influences corticospinal excitability across different effectors remains unclear. Using neuronavigated transcranial magnetic stimulation (TMS), we compared kinesthetic (KMI), first-person visual (VMI-1PP), and third-person visual (VMI-3PP) imagery of elbow flexion-extension ...
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Brain–computer interfaces (BCIs) are a group of technologies that allow mental training with feedback for post-stroke motor recovery. Varieties of these technologies have been studied in numerous clinical trials for more than 10 years, and their construct and software are constantly being improved. Despite the positive treatment results and the availability of registered medical devices, ...
Added: March 19, 2026
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A brain-computer interface (BCI) is a system that measures brain activity and converts it in real-time into functionally useful outputs to replace, restore, enhance, supplement, and/or improve the natural outputs of the brain. In invasive BCIs, electrodes are placed intracranially for more accurate and faster data exchange between the brain and external devices. The primary ...
Added: March 18, 2026
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The paper proposes methods for brain–computer interface, based on the hemodynamic activity registration using near–infrared spectroscopy (NIRS) and adapted for using in the movement disorders rehabilitation. Methods include a filtration adapted to the instructions frequency, step by step classification of the rest state and active tasks, as well as training of the interface classifier on ...
Added: March 18, 2026
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