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2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN)
IEEE, 2024.
Chapters
Monahhova E., Morozova A., Gorodnicheva Y. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 120–123.
The current study examined behavioral and electrophysiological responses to attitude-consistent and attitude-inconsistent auditory deepfakes on COVID-19 vaccination topic. Deepfakes portrayed Russian media- influencers (two speaker types: a prominent medical doctor and COVID-dissident), broadcasting statements opposite to their public opinion. We hypothesized that people would evaluate the trust-associated statements higher to deepfake aligning with their internal ...
Added: October 10, 2024
Koriakina M., Луков М., Барцева К. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 70–73.
This study explored different paradigms and protocols to investigate participants' psychoemotional states. The study involved testing a variety of stimuli, including videos with dramatic content, videos with neutral themes, physiological stress induction, and presentation of polar stimuli. The subjects' emotional reactions were assessed using the DES. The study showed a decrease in shame-related emotions in ...
Added: October 10, 2024
Pomelova E., Popyvanova A., Bredikhin D. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024.
Transcranial random noise stimulation (tRNS) is a type of transcranial electrical stimulation. tRNS at the primary motor cortex affects corticospinal system (CSS) excitability. We assume that applying analogous protocols at the spinal cord level could similarly influence on CSS excitability, enabling a comparison of stimulation outcomes. This research aims to scrutinize the impact of combining ...
Added: October 11, 2024
Morozova A., Monahhova E., Gorodnicheva Y. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 124–127.
Fake news has become a serious problem with the development of the Internet and social networks. Due to their rapid spread and influence on people's opinions and decision-making, the need to combat media fakes become evident. This pilot study investigated behavioral and neuropsychological responses to fake news corrections that indicate the presence of the fake. ...
Added: October 23, 2024
Ivanova M., Grigoriy Kopytin, Moiseeva V. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024.
Prediction error and volatility estimate are important concepts in the predictive coding theory. In the present study, we derive the values of prediction error and volatility estimate from a hierarchical Bayesian model - Hierarchical Gaussian Filter. Using support vector machine (SVM) method, we predict the values of prediction error and volatility estimate from brain activity ...
Added: November 29, 2024
Martinez-Saito M., Alexey Belianin, Grygory Kopytin et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024.
In the field of economics, traditional decision-making models are often built on a foundation of extensive assumptions that might not always hold true in practical situations. Alternatively, models that utilize adaptive learning without assumptions are capable of adjusting to varying levels of uncertainty, though this adaptability might come at the expense of efficiency. In scenarios ...
Added: November 29, 2024
Perevoznyuk G., Ragimova A., Pleskovskaya A. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 144 – 147.
The impact of transcranial direct current stimulation (tDCS) on motor imagery (MI) holds significant potential for neurorehabilitation. Most studies focus on tDCS of the primary motor cortex (M1), neglecting other cerebral cortex regions involved in MI. This study examines the effects of tDCS of the visual cortex using different currents (anode, cathode, sham) on MI. ...
Added: December 3, 2024
Perevoznyuk G., Ragimova A., Batov A. et al., , in: 2024 Sixth International Conference Neurotechnologies and Neurointerfaces (CNN).: IEEE, 2024. P. 140 – 143.
This study is dedicated to identifying differences in 4 types of motor imagery: first-person visual imagery, third-person visual imagery, kinesthetic imagery and sensory imagery. The research task includes Transcranial Magnetic Stimulation (TMS) over the motor cortex, during which Motor Evoked Potentials over 3 arm muscles will be measured. Also, correlations will be calculated between MEP ...
Added: December 3, 2024
Borkina A., Russian Japanology Review 2026 Vol. 9 No. 1 P. 30–48
The article examines the novel by Japanese writer Qudan Rie Tokyo Sympathy Tower, which was awarded the prestigious Akutagawa Literary Prize in 2024. The award sparked a wide discussion due to the writer’s use of generative artificial intelligence in her work, which not only suggested some ideas, but also became the prototype for one of ...
Added: September 2, 2026
Khodadoust J., Kulikova S., Khodadoust F., Biomedical Signal Processing and Control 2027 Vol. 129 P. 111284–111284
Acute ischemic stroke (AIS) analysis from two-dimensional (2D) clinical imaging is hindered by uncontrolled slice tilt and geometric inconsistencies that violate the assumptions of pose-agnostic deep learning (DL) models. This paper proposes a unified geometry-aware, frequency-domain framework for tilted slice localization and ischemic stroke segmentation that explicitly decouples pose estimation from lesion analysis. The method ...
Added: September 2, 2026
IEEE, 2026.
On behalf of the Organizing Committee, it is my great pleasure to extend a warm
welcome to all participants of the Fourth International IEEE Conference on
Distributed Computing and High-Performance Computing (DCHPC 2026), held
in Tehran from May 10–11, 2026. This conference is jointly organized by the
School of Computer Science at the Institute for Research in Fundamental
Sciences (IPM) ...
Added: September 2, 2026
Avdoshin S.M., Patrushev K. A., Proceedings of the Institute for System Programming of the RAS 2026 No. 4 часть 2 P. 245–256
The cardinality-constrained Markowitz problem is NP-hard and traditionally solved with commercial MIQP solvers. Following the 2022 export restrictions that rendered both commercial MIQP software and cloud quantum platforms (IBM Quantum, D-Wave Leap) inaccessible from the Russian Federation, practitioners require open-source alternatives. This paper systematically compares three solver families for the discrete mean-variance problem: two open-source ...
Added: August 27, 2026
Zaikin A., Vlasenko D., Zakharov D. et al., Diagnostics 2026 Vol. 16 No. 17 P. 1–15
Background/Objectives: Synolitic graphs (SGs) were developed for task-based fMRI, where
edge weights encode the discriminative power of pairwise regional features; whether similar
information can be recovered from resting-state data was untested. We benchmarked
SGs for autism spectrum disorder (ASD) classification using the multisite ABIDE-I dataset
(871 subjects: 403 subjects with ASD, 468 typical controls; 17 sites; CC200 atlas). Methods:
Using ...
Added: August 27, 2026
Тула: Тульский государственный педагогический университет им. Л.Н. Толстого, 2025.
Сборник содержит материалы, представленные на XXIV Международной конференции «Алгебра, теория чисел, дискретная геометрия и многомасштабное моделирование: современные проблемы, приложения и проблемы истории», посвящённой 110-летию со дня рождения академика Юрия Владимировича Линника и 110-летию со дня рождения профессора Андрея Борисовича Шидловского и 80-летию со дня рождения профессора Геннадия Ивановича Архипова. Материалы конференции будут полезны научным работникам, ...
Added: August 27, 2026
Medushevsky A. N., Liberal.ru 2026
Today, more than ever before, the contribution of new technologies shapes the conditions of humanity's existence as a biological species, prompting a debate about its prospects for survival. This process of transformation—which spans every sphere of social and moral regulation, from family relations and child-rearing to the very meaning of life—is dividing public opinion between ...
Added: August 26, 2026
Eduard Sopin, Nazarin A., Begishev V. et al., IEEE Transactions on Vehicular Technology 2026 Vol. 75 No. 6 P. 10995–11007
Aimed at rate-greedy applications having extreme requirements for the data rate at the air interface, 5G New Radio (NR) systems may experience problems when the number of user equipment (UE) in the coverage of the cell increases due to limited capacity of the physical downlink control channel (PDCCH).The aim of this study is to explore ...
Added: August 26, 2026
Джонов А. Т., Avdoshin S. M., Информационные технологии 2026 Т. 32 № 8 С. 421–427
This systematic review presents an analysis of the "Vibe Coding" methodology — a contemporary approach to the iterative software development process using Large Language Models (LLMs). Code generation tools are transforming software development by enabling programmers to formulate tasks and describe the desired behavior of software in natural language, while LLMs generate source code corresponding ...
Added: August 25, 2026
Melman A., Evsyutin O., Journal of the Franklin Institute 2026 Vol. 363 No. 15 Article 109005
Open access to images creates opportunities for violation of the authors' rights. Digital watermarks can be used to securely publish images online. They are invisibly added into the images before publication and can be extracted at any time to verify ownership. However, achieving a balance between embedding imperceptibility and robustness to image processing operations is ...
Added: August 25, 2026
IEEE, 2026.
It is with great pleasure that we welcome all the participants of the 12th Conference on Control, Decision and Information Technologies (CoDIT 2026) at the Polytechnic University of Bari – Orabona Street 4, 70125 Bari, Italy, July 13-16, 2026. CoDIT has grown to become one of the largest conferences organized in Europe and in the ...
Added: August 24, 2026
Лукьяненко Д. В., Ragimova A., Мухорина А. et al., European Physical Journal: Special Topics 2026 P. 1–24
Electronic health records (EHRs) contain vast volumes of clinical information that encode complex relationships between diseases. Traditional approaches to the analysis of interrelated or co-occurring diseases have focused on pairwise associations between diagnoses, missing the higher-order structures that characterise multimorbid patients. The present paper offers a narrative review of existing statistical, machine-learning, and artificial intelligence ...
Added: August 20, 2026
CEUR-WS.org, 2026.
The second edition of the Generative Code Intelligence Workshop (GeCoIn 2026) was held in conjunction with the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026), in Bremen, Germany, August 16, 2026. The workshop arose from the desire to bring together a research community that has, in recent years, witnessed rapid progress in the application ...
Added: August 20, 2026
Ryumina E., Aksenov A., Koryakovskaya D. et al., IEEE Access 2026 Vol. 14 P. 124759–124778
Psychological characteristic estimation from multimodal in-the-wild behavior is usually studied using separate corpora, each annotated for a single target task. Such annotation fragmentation limits cross-task learning and cross-domain generalization across affective, dispositional, and interactional phenomena. To address this problem, we use emotion, apparent personality trait, and ambivalence recognition as representative tasks and introduce MM-PSYCHE, a ...
Added: August 20, 2026
Association for Computational Linguistics, 2026.
19th Conference of the European Chapter of the Association for Computational Linguistics, Workshop on Linguistic Analysis for Health (2026) ...
Added: August 19, 2026
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
Moshkin A., Fedorov M., Arlazarov V. et al., Algorithms 2026 Vol. 19 No. 7 Article 523
Artificial intelligence (AI) technologies, which are being actively developed in modern medicine today, increase the speed and quality of patient care. This article mainly seeks to demonstrate the use of various options of computer analysis of clinical images to solve practical problems of increasing the efficiency of routine diagnostics using retrospective analysis, as well as ...
Added: August 17, 2026
Springer, 2026.
The Smart Innovation, Systems and Technologies book series encompasses the topics of knowledge, intelligence, innovation and sustainability. The aim of the series is to make available a platform for the publication of books on all aspects of single and multi-disciplinary research on these themes in order to make the latest results available in a readily-accessible ...
Added: August 16, 2026
Khorunzheva K., Postnikov E., Zakharov D., Chaos, Solitons and Fractals 2026 Vol. 212 No. 2 P. 1–12
Identification of coherent states of spiking neural networks is a fundamental problem of
synchronization theory but conventional methods are computationally expensive. We apply
the crystallographic ideas of processing periodic structures to the analysis of various
states of spiking neuronal networks. In particular, the introduced approach is based on
the application of two-dimensional Fourier transform to rasterplots. By the position ...
Added: August 13, 2026
Yu Z., Wang J., Wang Z. et al., Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 2026 Vol. 384 No. 2326 Article 20250103
The integration of data-driven and knowledge-driven approaches in generative geospatial modelling (GGM) is often hindered by their mathematical incompatibilities. Here, we propose a geometric algebra (GA)-based framework that employs a unified multi-vector representation to fuse heterogeneous data and diverse knowledge. The framework facilitates structured reasoning and hypothesis generation through a task-adaptable, five-stage cycle: representation, reasoning, ...
Added: August 13, 2026
Cham: Springer, 2026.
This book constitutes the proceedings of the 10th International Workshop Empowering Novel Geometric Algebra for Graphics and Engineering, ENGAGE 2025, held in conjunction with Computer Graphics International conference, CGI 2025, in Hong Kong, China, on July 14, 2025.
The 14 full papers included in this volume were carefully reviewed and selected from 16 submissions. The papers ...
Added: August 13, 2026
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
Kanaev E., Southeast Asia: Actual Problems of Development 2026 Vol. 2 No. 2(71) P. 11–22
The author focuses on a strengthening digital component in the evolution of the South China Sea issue in the context of ASEAN’s evolving approach to the deepening contradictions and its policy in the digital field. On outlining ASEAN’s policy on the South China Sea issue, the author proceeds to exploring the digital agenda of ASEAN’s ...
Added: July 30, 2026
Manivelan S. V., Srinivasan S., Thamilmaran K. et al., Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 2026 Vol. 114 No. 1 Article 014217
This study investigates the dynamical origins and statistical properties of extreme events (EEs) in a diffusively coupled theoretical Brusselator system, extending from pairwise interactions to globally coupled networks. Statistically, the emergence of EEs is characterized by heavy-tailed probability density functions and exponential interevent interval distributions, alongside an analysis of the complementary cumulative distribution function and ...
Added: July 15, 2026