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Increasing large-scale beta-synchronization during the second day of pseudoword-movement associative learning
P. 77–78.
We examined MEG β-power during two days of pseudoword-movement associative learning. We discovered learning-induced β-ERS in sensorimotor, frontal and posterior temporo-parietal regions. The β-ERS in the associative cortices did not change after sleep but the one in the posterior regions continued to rise during repetitive training on the second day.
In book
Vol. 188: Supplement. , Elsevier, 2023.
Паникратова Я. Р., Пчелинцева М. Е., Егорова М. В. et al., Психиатрия, психотерапия и клиническая психология 2025 Т. 16 № 4 С. 528–543
Working memory (WM) may largely determine human cognitive capabilities and, consequently, daily functioning and performance in leading activity for diverse ages. Therefore, WM training seems to be relevant for both healthy individuals and patients with neurological or mental conditions of a broad age range. The kinds of WM training described in the literature are highly ...
Added: March 15, 2026
Zabolotniy A., Chan R. W., Moiseeva V. et al., Frontiers in Neuroscience 2025 Vol. 19 Article 1623380
We demonstrated the feasibility of finger movement decoding with a tailored Convolutional Neural Network. The performance of our approach was comparable to complex deep learning architectures, while providing faster and interpretable outcome. This algorithmic strategy holds high potential for the investigation of the mechanisms underlying non-invasive neurophysiological recordings in cognitive neuroscience. ...
Added: October 2, 2025
Razorenova A., Butorina I. A., Ossadtchi A. et al., IEEE Transactions on Instrumentation and Measurement 2025 Vol. 74 P. 1–13
The trend toward sensor miniaturization has heightened interest in optimizing sensor array configurations across various scientific and industrial applications that imply multichannel measurements. In this article, we present a novel method for sensor array layout optimization for the needs of the modern real-life magnetoencephalographic (MEG) applications. Starting from a superset of potential locations, we form ...
Added: September 5, 2025
Fedosov N., Medvedeva D., Shevtsov O. et al., Journal of Neural Engineering 2025 No. 22 Article 046031
Objective. Recent advances in biomagnetic sensing have led to the development of compact, wearable devices capable of detecting weak magnetic fields generated by biological activity. Optically pumped magnetometers (OPMs) have shown significant promise in functional neuroimaging. Brain rhythms play a crucial role in diagnostics, cognitive research, and neurointerfaces. Here we demonstrate that a small number of ...
Added: September 5, 2025
Fedosov N., Medvedeva D., Shevtsov O. et al., IEEE Transactions on Instrumentation and Measurement 2025 No. 74 P. 1–11
This article addresses several critical aspects of using optically pumped magnetometers (OPMs), focusing on both metrological issues and the enhancement of signal quality. We present a quantitative methodology for OPM measurements standardization and quality evaluation, which is crucial in biomedical applications like magnetoencephalography (MEG). Additionally, we introduce a novel, cost-effective portable active magnetic shielding system—digital ...
Added: September 4, 2025
Neklyudova A., Gurgen Soghoyan, Olga Martynova et al., Language, Cognition and Neuroscience 2025 Vol. 40 No. 7 P. 889–897
Research has shown that semantic analysis occurs at early stages of word processing (less than 200 ms). While traditional studies have focused on isolated words/sentences, our research explores rapid semantic processing during reading stories when texts were presented word by word (each word lasting 150 ms), enhancing rapid semantic processing. We sorted words by quartiles according to ...
Added: July 7, 2025
Pechenkova E., Королькова О. А., Паникратова Я. Р. et al., Экспериментальная психология 2025 Т. 18 № 1 С. 181–199
Context and relevance. To date, the study of brain correlates of working memory (WM) is associated with
a number of theoretical as well as methodological difficulties. Firstly, substantially variable tasks are used
to assess WM. Secondly, each neuroimaging method has its own characteristics and limitations. Objective.
The aim of this paper was to systematize the tasks used to ...
Added: April 16, 2025
Mikhailova A., Вопросы образования 2024 № 2 С. 139–169
Action research - that is “learning how to do something by doing it" - is a way to change teachers’ beliefs through practice. 15 teachers from three primary and secondary schools conducted their own action research. After a preliminary training, teachers independently designed and conducted lessons using digital tools to stimulate students’ active learning. During ...
Added: September 19, 2024
A. L. Semenov, Soprunov S. F., Ivanov-Pogodaev I. A., Doklady Mathematics 2023 Vol. 107 No. 1 P. S132–S136
The paper discusses an example of an educational project in modern mathematics in which school students create mathematics that is new to them. The mathematical results produced by the students in the theory of definability also have an “absolute” novelty, i.e., are the basis for professional publications. The described course was based on recent results of this ...
Added: March 14, 2024
Ulanov M., Kopytin G., Bermúdez-Margaretto B. et al., Neuropsychologia 2024 Vol. 195 Article 108800
The neural underpinnings of processing concrete and abstract semantics remain poorly understood. Previous
fMRI studies have shown that multimodal and amodal neural networks respond differentially to different semantic
types; importantly, abstract semantics activates more left-lateralized networks, as opposed to more
bilateral activity for concrete words. Due to the lack of temporal resolution, these fMRI results do not allow ...
Added: February 16, 2024
Razorenova A., Pavlova A., Nikolaeva A. Y. et al., International Journal of Psychophysiology 2023 Vol. 188 P. 77–78
We examined MEG β-power during two days of pseudoword-movement associative learning. We discovered learning-induced β-ERS in sensorimotor, frontal and posterior temporo-parietal regions. The β-ERS in the associative cortices did not change after sleep but the one in the posterior regions continued to rise during repetitive training on the second day. ...
Added: November 22, 2023
Tsvigun A., Shelmanov A., Kuzmin G. et al., , in: Findings of the Association for Computational Linguistics: NAACL 2022.: Seattle: Association for Computational Linguistics, 2022. P. 1198–1218.
Active learning (AL) is a prominent technique for reducing the annotation effort required for training machine learning models. Deep learning offers a solution for several essential obstacles to deploying AL in practice but introduces many others. One of such problems is the excessive computational resources required to train an acquisition model and estimate its uncertainty ...
Added: November 1, 2022
Videnin S., Раскина А. В., Виденина М. С. et al., Современные наукоемкие технологии 2020 № 12-1 С. 145–149
The article presents the concept of «Fundamentals of programming» discipline design in the context of the CDIO initiative and the relations between the key sections of the discipline with the CDIO standards. There are methodological features of the applied pedagogical technologies used in the course. The list of competencies to be formed in the educational ...
Added: October 12, 2022
Puchkin N., Zhivotovskiy N., IEEE Transactions on Information Theory 2022 Vol. 68 No. 7 P. 4651–4665
We show that in pool-based active classification without assumptions on the underlying distribution, if the learner is given the power to abstain from some predictions by paying the price marginally smaller than the average loss 1/2 of a random guess, exponential savings in the number of label requests are possible whenever they are possible in ...
Added: May 30, 2022