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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Параметры ЭЭГ состояний покоя коррелируют с данными УЗДГ МАГ и когнитивными нарушениями у пациентов с хронической ишемией мозга и инсультом различной латерализации

Журнал высшей нервной деятельности им. И.П. Павлова. 2016. Т. 66. № 6. С. 698–709.
Портнова Г. В., Атанов М. С., Гладун К. В., Martynova O.

 The paper presents the results of complex ischemia study using background (resting) EEG, blood flow rates in major head arteries and cognitive tests. The examined subjects were: patients with severe atrophy of cerebral hemisphere (N  = 35), patients after left (N  = 34) and right (N  = 32) stroke and healthy volunteers (N  = 42). Resting state clusters having specific frequency pattern, topography and time of presence were discriminated from EEG for each group. Clusters observed in healthy subjects were almost or even completely absent in patients with ischemia. Their time of presence correlated directly with blood flow rates in head arteries and inversely with stenosis level in internal carotid artery. Further, there were clusters specific to patients groups, also being correlated with stenosis level. “Ischemic” clusters proved to be quite similar for patients with SACH and after right stroke, but they were completely different in patients after left stroke. Time of presence of these clusters correlated with cognitive tests scores. The results prove the resting EEG analysis to be applicable for ischemia diagnosis as an additional instrument.

Research target: Psychology
Priority areas: humanitarian
Language: Russian
Keywords: кластерный анализEEGЭЭГинсультstrokecarotid stenosisischemiaDoppler ultrasoundk-mean clusteringуровень стенозаишемияскорость кровотокаДЭПкогнитивные тесты
Publication based on the results of:
Активное и пассивное декодирование нейрональных процессов при выполнении когнитивных и нейроэкономических задач (2016)
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Cyber-Creativity: A Decalogue of Research Challenges
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Creativity is the primary driver of our cultural evolution. The astonishing potential of artificial intelligence (AI) and its possible application in the creative process poses an urgent and dramatic challenge for humanity; how can we maximize the benefits of AI while minimizing the associated risks? In this article, we identify all forms of human–AI collaboration ...
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The authenticity gap: Why generative AI cannot replicate human creativity
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Факторы успешной социально-психологической адаптации женщин, заключивших брак с иностранцами
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Монография посвящена факторам успешной социально-психологической адаптации женщин, переехавших в другу ю страну в связи с замужеством. Особое внимание уделяется рассмотрению феномена адаптации как динамического и нелинейного процесса, влияющего на эволюцию представлений личности о собственной идентичности. В работе подчеркивается важность анализа не только явных, осознаваемых аспектов адаптации, но и скрытых факторов, влияющих на включение в новое ...
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Разработка копинг-стратегий на основе оценки трудностей взаимодействия с созависимыми
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“Reading the Mind in the Eyes Test”: Development of a Russian-Language Version Expanded for Neuroimaging Applications
Zheltyakova M., Korotkov A., Bursov K. et al., Herald of the Russian Academy of Sciences 2026 Vol. 95 P. 1048–1057
The Reading the Mind in the Eyes Test (RMET) is a widely used tool for assessing affective mentalization in both clinical and research contexts. Although translated into many languages, no validated Russian-language version has been available. Furthermore, the limited number of stimuli in the original RMET constrains its applicability in neuroimaging studies. This study presents ...
Added: September 13, 2026
Oscillatory dynamics of inflectional processing: teasing apart defaultness and productivity effects in Russian verbs
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Previous EEG studies demonstrated ample evidence for a major influence of morphological regularity on inflectional processing. However, regularity effects may be attributed to different properties of inflectional classes: to type frequency, to productivity, or to defaultness (assumed only in some models). In many languages, these factors cannot be teased apart, but it is possible in ...
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Characteristics of intellectual development in children diagnosed with arthrogryposis multiplex congenita
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This study investigates how congenital motor disorders affect cognition by analyzing intelligence in children with arthrogryposis multiplex congenita (AMC), a condition featuring joint contractures without CNS involvement. Unlike other motor disorders, AMC offers a unique model to study movement restriction’s isolated cognitive effects. The study included 32 children diagnosed with AMC and a control group ...
Added: September 12, 2026
Known but Unseen: Linguistically Mediated Testimonial Injustice and Academic Recognition in Russian-Medium Higher Education
JOURNAL OF INTERDISCIPLINARY STUDIES IN EDUCATION 2026 Vol. 15 No. 7
Soyut Bu makale, Rusça eğitim veren yükseköğretim kurumlarında öğrenim gören Türk öğrencilerin akademik yeterliliklerinin tanınması ve yanlış tanınmasını nasıl deneyimlediklerini incelemektedir. 15 görüşmenin ikincil nitel analizine dayanarak, dilsel performansın sınıf içi katılım ve sözlü değerlendirmede güvenilirlik yargılarını nasıl şekillendirdiğini açıklamak için dilsel olarak aracılık edilen tanıklık adaletsizliği kavramını geliştirmektedir. Üçbiriyle ilişkili dinamik ortaya çıkmıştır: değerlendirmede epistemik ...
Added: September 11, 2026
Mechanisms underlying disfluency effects: a systematic review
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Introduction. Although some studies link disfluency – the subjective experience of difficulty in processing information – to cognitive and metacognitive benefits, empirical findings remain inconsistent, often showing null or negative effects, while theoretical explanations remain fragmented. Objective. The aim of this review was to systematize and clarify the mechanisms through which disfluency influences cognitive, metacognitive, ...
Added: September 11, 2026
Одиннадцатая международная конференция по когнитивной науке: Тезисы докладов
Александров Ю. И., Н. Новгород: Издательство Нижегородского государственного университета им. Н.И. Лобачевского, 2026.
Настоящий сборник включает материалы Одиннадцатой международной конфе ренции по когнитивной науке, состоявшейся в Нижнем Новгороде, 24-28 августа 2026 г. Конференция посвящена обсуждению вопросов развития познавательных процес сов, их биологической и социальной детерминированности, моделированию когнитив ных функций в системах искусственного интеллекта, разработке философских и мето дологических аспектов когнитивных наук. В центре дискуссий – проблемы сознания, обучения, интеллекта, восприятия, представления и приобретения знаний, ...
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Background. Self-monitoring is critical for online learning, yet many students struggle due to cognitive load. Students with higher self-monitoring skills man- age this demand better, but which load types they handle effectively remains unknown. Metacognitive prompts are a common support tool, but it is unclear whether they amplify or compensate for skill differences. Objective. To examine ...
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Added: September 8, 2026
Развитие когнитивных функций детей с помощью методик, использующих видеоокулографию
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Активное развитие метода видеоокулографии, т. е. регистрации движений глаз, создает возможности для создания новых подходов для развития когнитивных функций и обучения. Методики, основанные на видеоокулографии, могут быть полезны не только для детей с серьезными нарушениями моторных функций, но и детей с нарушениями развития когнитивных функций, прежде всего внимания, так как контроль движений глаз тесно связан ...
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College Students’ Responses to Automated Feedback on Self-Regulated Learning
Yu E. C., Lui A., Andrade H. et al., Educational Assessment 2026 P. 1–26
Feedback often promotes student learning. Research has focused on delivering high-quality feedback, yet too little is known about how students respond to feedback, and whether and why it serves its intended purposes. This study is an investigation of how college students responded to feedback on their self-regulated learning (SRL). After taking an online assessment of ...
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Измерение учебного стресса: проверка измерительной инвариантности по полу
Карпова А. Д., Tarasov S., Kanonire T., Психологическая наука и образование 2026 Т. 31 № 4 С. 51–70
Context and relevance. In recent years, academic stress among high school students has been regarded as a significant risk factor for their well-being and academic achievement, while in the Russian context there is a noted shortage of modern, psychometrically validated methods for its assessment . Objective. The aim of this study is to validate the ...
Added: September 7, 2026
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Момджян К. Х., Кржевов В. С., Poddiakov A. et al., М.: Новые печатные технологии, 2025.
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Event-related potentials and presaccadic activity in response to affective stimuli in participants with obsessive-compulsive disorder
Liaukovich K., Panfilova E., Khayrullina G. et al., International Journal of Psychophysiology 2025 Vol. 207 P. 112475
Added: September 5, 2026
Validation of the obsessive–compulsive disorder-triggering image set (OCD-TIS)
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Added: September 5, 2026
Lower resting-state EEG mean eigenvector centrality is associated with higher math anxiety
Pavlova A., Малых С. Б., Адамович Т. В., Frontiers in Human Neuroscience 2026 No. 20 Article 1843779
This study aimed to investigate resting-state neural correlates of math anxiety in high school students using a graph-theoretical approach. Sixty 10th-grade students (35 females; mean age = 16.15 years) participated in the study. Resting-state EEG data were acquired using a 32-channel wireless dry-sensor system (Cognionics Quick-32 series). Math anxiety was assessed using the Abbreviated Math Anxiety Scale. Mean ...
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Hypergraphs from multivariate connectivity: caCOH-based EEG/MEG representation
Vlasenko D., Saranskaia I., Zakharov D., European Physical Journal: Special Topics 2026 P. 1–16
Hypergraphs provide a natural framework for representing neurophysiological interactions distributed across sets of sensors. A key methodological question is how hyperedges should be defined from frequency-resolved electroencephalography/magnetoencephalography (EEG/MEG) data. We demonstrate a construction strategy in which hyperedges are obtained from canonical coherence (caCOH), an extension of coherence that estimates coupling between multidimensional signal spaces. To ...
Added: August 18, 2026
Reconstruction of EEG signals using next-generation reservoir computing
Badarin A., Ratnikov F., Andreev A., European Physical Journal: Special Topics 2026 P. 1–10
EEG recordings are often affected by the loss or corruption of individual channels due to electrode detachment, poor scalp contact, or external interference. Such channels must be accurately reconstructed before further analysis. In this study, we investigate Next-Generation Reservoir Computing (NG-RC) as a data-driven approach for reconstructing corrupted EEG channels and compare its performance with ...
Added: August 12, 2026
Functional Brain Connectivity and Musical Training: Insights from EEG Phase Synchronization during Music Perception
A. Radygina, S. Kulikova, Herald of the Russian Academy of Sciences 2025 Vol. 95 No. 6 P. 963–970
Musical training has a significant impact on brain organization, leading to functional and structural adaptations that enhance auditory, visual, motor, and cognitive processes. This study investigates how extensive musical training shapes functional brain connectivity by comparing professional musicians and non-musicians. Using EEG phase-locking value (PLV) analysis, we examined neural synchronization across alpha, beta, and gamma frequency ranges during music ...
Added: August 5, 2026
EEG evidence for reproducible neural states during Buddhist Highest Yoga Tantra meditation
Mikhaylets E. V., Razorenova A. М., Chernyshev V. L. et al., Scientific Reports 2026 Vol. 16 Article 23560
Meditation offers a naturalistic paradigm for studying introspection, yet the neural dynamics of advanced tantric practices remain largely unexplored. Buddhist Highest Yoga Tantra (BHYT) comprises a sequence of eight dissolution stages culminating in the “clear light” state. We recorded EEG during eyes-closed BHYT meditation performed in monasteries and hermitages (51 sessions from 36 male practitioners; ...
Added: July 29, 2026
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