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Representational dissimilarity component analysis (ReDisCA)
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
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
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Pechenkova E., Королькова О. А., Паникратова Я. Р. et al., В кн.: Когнитивная наука в Москве: новые исследования. Материалы конференции 25 – 26 июня 2025.: М.: Буки Веди, 2025. С. 394–399.
Working memory (WM) is a system for the short-term storage and processing of a limited amount of information required for a current cognitive activity. WM largely determines a person's cognitive abilities throughout life and has been shown to decline with aging. This decline affects WM updating to a greater degree than maintenance and is more ...
Added: December 29, 2025
Грищенко Д. И., Falikman M., Pechenkova E. et al., В кн.: Когнитивная наука в Москве: новые исследования. Материалы конференции 25 – 26 июня 2025.: М.: Буки Веди, 2025. С. 153–157.
The human gaze is a significant source of information during social interactions, and as such, it has been the focus of intensive study by researchers from various scientific disciplines for many decades. Two types of social gaze that develop sequentially in phylogeny and ontogeny are gaze following and mutual gaze. Previous behavioral research has identified ...
Added: December 29, 2025
Schoenmaekers C., Jillings S., Mortaheb S. et al., NPJ MICROGRAVITY 2025 Vol. 11 Article 71
Long-duration spaceflight affects otolith-mediated ocular counter-roll (OCR) and brain function, but the relationship between these changes is unclear. This study examines whether OCR changes correlate with functional connectivity (FC) changes in the vestibular network in the same cosmonauts after a long-duration (6-month) spaceflight mission. Using a human vestibular atlas, we found that changes in FC ...
Added: December 28, 2025
Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.
Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...
Added: December 24, 2025
Del Maschio N., Bellini C., Giannachi M. et al., Brain Structure and Function 2025 Vol. 230 Article 55
Reading is a core feature of human communication that develops throughout intensive academic training. Recently, a group of studies examined whether neuroanatomical variants that predate literacy acquisition may influence reading abilities at later stages of life, yielding mixed results. To complement and expand previous knowledge, we used multimodal magnetic resonance imaging (MRI) to investigate whether ...
Added: December 12, 2025
Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset
Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.
Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...
Added: December 1, 2025
Andrey Timashkov, Sarah Anderson, Oksana Zinchenko, Frontiers in Neuroscience 2025 Vol. 19 Article 1662272
The analysis revealed nine distinct activation clusters, revealing a comprehensive neural network involved in uncertainty processing. Key findings demonstrated predominant activations in the anterior insula (up to 63.7% representation), inferior frontal gyrus (up to 40.7%), and inferior parietal lobule (up to 78.1%). We found a functional specialization between emotional-motivational processes (clusters 1–5) and cognitive processes ...
Added: November 26, 2025
Vinogradova V., Manini B., Woll B. et al., Cerebral Cortex 2026 Vol. 36 No. 1 Article bhaf332
Our study investigates how language proficiency impacts cognitive processing in the brain. We focused on congenitally and early deaf adults, where individual differences in language access during development significantly influence language proficiency and cognitive function. This variability in language backgrounds and skills, allows us to explore the influence of early language experience on the large-scale ...
Added: November 24, 2025
Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.
We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...
Added: November 21, 2025
Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.
The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...
Added: November 9, 2025
Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.
Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...
Added: October 5, 2025
Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.
Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...
Added: October 5, 2025
Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.
Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...
Added: September 23, 2025
Proshina E., Anastasia Gaidareva, Margarita Beskhizhko et al., International Journal of Molecular Sciences 2025 Vol. 26 No. 17 Article 8578
Obsessive–compulsive disorder (OCD) is a heterogeneous mental illness characterized by a variety of clinical manifestations and underlying neurobiological mechanisms. Modern research highlights the importance of identifying subtypes of OCD—separate categories that are characterized by specific phenotypic manifestations. This review provides a systematic integration of multi-level biomarker data (genetic, neuroimaging, neuropsychological) specifically aligned with the most ...
Added: September 19, 2025
Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.
We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon
by not intersecting diagonals. ...
Added: September 17, 2025
Tatiana Bolgina, Malyutina S., Hancock R. et al., Laterality 2025 Vol. 30 No. 1 P. 4–23
Familial sinistrality (left-handedness) has been suggested as a proxy for functional language lateralization in the healthy adult brain. Previous studies show that individuals with familial sinistrality tend to have less lateralized language-related brain activation, while individuals without familial sinistrality show greater left-hemispheric lateralization for language. However, familial sinistrality trait has always been treated as a ...
Added: May 21, 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
Pechenkova E., Mary Rachinskaya, Vasilenko V. et al., Vision 2025 Vol. 9 No. 2 Article 30
The ability to adopt different perspectives, or vantage points, is fundamental to human cognition, affecting reasoning, memory, and imagery. While the first-person perspective allows individuals to experience a scene through their own eyes, the thirdperson perspective involves an external viewpoint, which is thought to demand greater cognitive effort and different neural processing. Despite the frequent ...
Added: April 13, 2025