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Fast Parametric Curve Matching (FPCM) Filters for Deep Learning-Based Automatic Spike Detection
P. 317–326.
In book
Springer, 2024.
Kudrjashov S., Fenogenova A., Емельянов А., , in: Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 3: System Demonstrations)Vol. 3: System Demonstrations.: Rabat: Association for Computational Linguistics, 2026. Ch. 11 P. 139–153.
Membership Inference Attacks (MIAs) aim to determine whether a specific data point was included in the training set of a target model. Although there are have been numerous methods developed for detecting data contamination in large language models (LLMs), their performance on multimodal LLMs (MLLMs) falls short due to the instabilities introduced through multimodal component ...
Added: May 19, 2026
Anna Pavlova, Adamovich T., Malykh S., Frontiers in Human Neuroscience 2026 Vol. 20 Article 1748183
The aim of the present study was to investigate the association between resting-state EEG functional connectivity and spatial working memory (SWM) in adolescents, using a graph-theoretical approach. Sixty-three healthy adolescents (38 females; M = 16.8, SD = 0.47) participated in the study. Resting-state EEG was recorded by a wireless dry-sensor 32-channel headset (Cognionics Quick-32r) configured in a standard 10–20 montage. ...
Added: February 6, 2026
Kleeva D., Sinkin M., Shtekleyn A. et al., Brain Topography 2025 Vol. 38 Article 75
Magnetoencephalography (MEG) and electroencephalography (EEG) provide complementary insights into brain activity, yet their distinct biophysical principles influence how normal neurophysiological patterns and artifacts are represented. This study presents a comprehensive qualitative and quantitative analysis of common physiological variants and artifacts in simultaneously recorded MEG and EEG data. We systematically examined patterns such as alpha spindles, ...
Added: November 29, 2025
Kleeva D., Sinkin M., Shtekleyn A. et al., Springer, 2025.
Magnetoencephalography (MEG) and electroencephalography (EEG) provide complementary insights into brain activity, yet their distinct biophysical principles influence how normal neurophysiological patterns and artifacts are represented. This study presents a comprehensive qualitative and quantitative analysis of common physiological variants and artifacts in simultaneously recorded MEG and EEG data. We systematically examined patterns such as alpha spindles, ...
Added: November 29, 2025
Komissarenko A., Voloshina E., Чевелева А. Н. et al., Scientific data 2025 Vol. 12 No. 1 Article 1687
Recently, the idea of brain-model alignment has been the topic of several influential works. However, most of previous studies were based on datasets collected during regular reading tasks where the subjects were not exposed to processing linguistic incongruencies, and stimuli were not controlled for key linguistic properties. Meanwhile, interpretability studies of Large Language Models pay ...
Added: November 18, 2025
Rome: Springer, 2025.
This book constitutes the refereed proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023, held in Rome, Italy, during November 13-15, 2023.
The 9 full papers and 8 short papers included in this book were carefully reviewed and selected from 166 submissions. They were organized in topical sections ...
Added: May 2, 2025
Vorobyova A., Feurra M., Pavone E. F. et al., Frontiers in Human Neuroscience 2025 Article 1509163
Introduction: The hippocampus plays a crucial role in episodic memory. Given its complexity, the hippocampus participates in multiple aspects of higher cognitive functions, among which are semantics-based encoding and retrieval. However, the “where,” “when” and “how” of distinct aspects of memory processing in the
hippocampus are still under debate.
Methods: Here, we employed a visual associative memory task that involved ...
Added: February 20, 2025
Iurina E., Bailles E., Carreño M. et al., Epilepsy Research 2021 Vol. 177 Article 106784
Objective: To determine changes in dimensions of personality in a sample of patients suffering from drug-resistant epilepsy at the 1-year follow-up following surgery, compared to non-surgically treated controls.
Methods: We conducted a prospective comparative controlled study, including drug-resistant epilepsy surgery candidates. Demographic, psychiatric, neurological, and psychological data were recorded. Presurgical and 12-months follow-up evaluations were performed. Personality dimensions ...
Added: January 29, 2025
Соловьёв Р. А., Габрушева Т., Ванг В., Image and Vision Computing 2021 Vol. 107 P. 104117–0
We present a novel method for combining predictions in ensembles of different object detection models: weighted boxes fusion. This method significantly improves the quality of the fused predicted rectangles for an ensemble.
We tested the method on several datasets and evaluated it in the context of the Open Images and COCO Object Detection challenges. It helped ...
Added: January 15, 2025
Limonova A., Minenko I., Anastasia A. Sukmanova et al., Journal of Clinical Medicine 2024 Vol. 13 No. 24 Article 7756
Background/Objectives: The physiological basis underlying symptomatic versus asymptomatic premature ventricular contractions (PVCs) remains poorly understood. However, symptomatic PVCs can significantly impair quality of life. In patients without structural heart disease, symptom intensity is crucial for guiding management strategies and determining the need for medical or surgical intervention. In this study, we aimed, for the first ...
Added: January 10, 2025
Nikolay Dagaev, Ilia Semenkov, Alexei Ossadtchi, , in: 27th European Conference on Artificial Intelligence, 19–24 October 2024, Santiago de Compostela, Spain – Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024)Vol. 392.: IOS Press, 2024. P. 4463–4466.
Added: October 24, 2024
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
Nikulin A. M., Belousov Y., Svidchenko O. et al., , in: Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track.: PMLR, 2022.
Reinforcement learning competitions advance the field by providing appropriate scope and support to develop solutions toward a specific problem. To promote the development of more broadly applicable methods, organizers need to enforce the use of general techniques, the use of sample-efficient methods, and the reproducibility of the results. While beneficial for the research community, these ...
Added: October 8, 2024
Rusinova A., Volodina M., Ossadtchi A., , in: Когнитивная наука в Москве: новые исследования. Материалы конференции 21–22 июня 2023 г.: М.: «Буки Веди», Московский институт психоанализа, 2023. P. 44–48.
Added: September 27, 2024
Rogachev A., Ratnikov F., Computing and Software for Big Science 2024 Vol. 8 No. 1 Article 12
In this paper, we explore the use of Generative Adversarial Networks (GANs) to speed up the simulation process while ensuring that the generated results are consistent in terms of physics metrics. Our main focus is the application of spectral normalization for GANs to generate electromagnetic calorimeter (ECAL) response data, which is a crucial component of ...
Added: July 2, 2024
Menshchikov A., Shadrin D., Prutyanov V. et al., IEEE Transactions on Computers 2021 Vol. 70 No. 8 P. 1175–1188
The Hogweed of Sosnowskyi (lat. Heracleum sosnowskyi) is poisonous for humans, dangerous for farming crops, and local ecosystems. This plant is fast-growing and has already spread all over Eurasia: from Germany to the Siberian part of Russia, and its distribution expands year-by-year. In-situ detection of this harmful plant is a tremendous challenge for many countries. ...
Added: May 11, 2024
Cham: Springer, 2024.
This book constitutes revised selected papers from the thoroughly refereed proceedings of the 11th International Conference on Analysis of Images, Social Networks and Texts, AIST 2023, held in Yerevan, Armenia, during September 28-30, 2023.
The 24 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections ...
Added: March 25, 2024
Gerstl J. ., Alina Kiseleva, Imbach L. et al., Scientific Reports 2023 No. 13 Article 21313
We evaluate whether interictal spikes, epileptiform HFOs and their co-occurrence (Spike + HFO) were
included in the resection area with respect to seizure outcome. We also characterise the relationship
between high frequency oscillations (HFOs) and propagating spikes. We analysed intracranial EEG of
20 patients that underwent resective epilepsy surgery. The co-occurrence of ripples and fast ripples
was considered an ...
Added: March 13, 2024
Nikita O. Starodubcev, Nikitin N., Andronova E. et al., Engineering Applications of Artificial Intelligence 2023 Vol. 119 Article 105715
In recent years generative design techniques have become firmly established in numerous applied fields, especially in engineering. These methods are crucial for automating the initial stages of the engineering design of various structures, which reduces the amount of routine work. However, existing approaches are limited by the specificity of the problem under consideration. In addition, ...
Added: March 5, 2024