Персона:
Ушаков, Вадим Леонидович

Организационные подразделения

Организационная единица

Институт интеллектуальных кибернетических систем

Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.

Фамилия

Ушаков

Имя

Вадим Леонидович

Полная страница элемента

Результаты поиска

Теперь показываю 1 - 10 из 30

Только метаданные
Assessment and Correlation of Morphometric and Tractographic Measures of Patients Diagnosed with Schizophrenia
(2024) Mosina, L.; Ushakov, V.; Orlov, V.; Kartashov, S.; Ушаков, Вадим Леонидович
Только метаданные
The Future of International Climate Politics: An Agent-Based Approach
(2024) Shuranova, A.; Chistikov, M.; Petrunin, Y.; Ushakov, V.; Ушаков, Вадим Леонидович
Только метаданные
The Analysis of the DMN Network of the Brain Using the Method of Segmentation of Functionally Homogeneous Regions
(2024) Kozlov, S.; Poyda, A.; Orlov, V.; Ushakov, V.; Ушаков, Вадим Леонидович
Только метаданные
Selection of Functionally Homogeneous Human Brain Regions for Functional Connectomes Building Based on fMRI Data
(2021) Kozlov, S.; Poyda, A.; Orlov, V.; Sharaev, M.; Ushakov, V.; Ушаков, Вадим Леонидович
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.In the current work we focused on the problem of identifying the mechanism of interaction of neural networks in the human brain in cognitive processes. An important step in solving this problem is to identify functionally homogeneous regions of the brain. In this paper, we present two methods which are needed to identify these regions and build maps of areas of the brain that work stable in time. We tested the developed methods on experimental resting-state fMRI data and showed that the brain areas identified with the proposed methods have greater functional homogeneity compared to established anatomical and functional brain atlases and thus could be considered more suitable for further connectome calculation.
Только метаданные
Neurosemantics in Functional Systems of the Brain
(2025) Ushakov, V.; Nosovets, Z.; Kotov, A.; Zaidelman, L.; Ушаков, Вадим Леонидович; Носовец, Захар Андреевич
Только метаданные
A Model of Travelling Waves in the Neural Medium with Directional Variability of Inhibitory Effects
(2025) Malkov, I.; Burlakov, E.; Verkhlyutov, V.; Ushakov, V.; Ушаков, Вадим Леонидович
Только метаданные
Neurophysiological Correlators of Semantic Features
(2020) Orlov, V.; Stroganova, T.; Velichkovskiy, B.; Korosteleva, A.; Ushakov, V.; Ушаков, Вадим Леонидович
© 2020, Springer Nature Switzerland AG.The article presents the result of fMRI data processing - a map and characteristics of brain activity in the process of monitoring human speech activity. Experimental data calculated by 8 subjects. The main goal of the work was to localize the spatial and temporal dynamics of the neural networks of the cortex, which is responsible for the mechanism of verbal control. The secondary goal of the work was to recognize and remove noise components from the fMRI signal, which are related to human physiology and a feature of the test items.
Только метаданные
Dynamic Parameters of the Diffusion in Human Brain White Matter During Cognitive Tasks
(2020) Orlov, V.; Kartashov, S.; Ushakov, V.; Ушаков, Вадим Леонидович
© 2020, Springer Nature Switzerland AG.The aim of this work was to develop and analyze the MRI sequence for the functional tractography protocol. Also, a method of combining structural MRI, fMRI, tractography and functional tractography was developed to study the effect of changes in the diffusion of human CSF during performing the simplest cognitive tasks - motor stimulation and visual perception. Curves of these dynamic changes were obtained. A number of additional studies conducted show that described effect does not depend on the nearby large vessels.
Только метаданные
Information Approach in the Problems of Data Processing and Analysis of Cognitive Experiments
(2019) Korosteleva, A.; Mishulina, O.; Ushakov, V.; Ушаков, Вадим Леонидович
© 2019, Springer Nature Switzerland AG. In this paper, information indicators for solving statistical problems at various stages of analyzing psychological test data are analyzed: in the process of detecting and removing from the sample incorrectly formulated test tasks, for grouping participants according to similarity indicators of their answers in test tasks and highlighting participants with unique characteristics. The proposed methodology is illustrated by the data of a psychological test aimed at identifying a person’s ability to spatial imagination, the formation of associative links between objects and the solution of logical problems.
Только метаданные
The Concept of Functional Tractography Method for Cognitive Brain Studies
(2019) Ponomarenko, N.; Kartashov, S.; Ushakov, V.; Ушаков, Вадим Леонидович
© 2019, Springer Nature Switzerland AG. The aim of this work is to develop method of functional tractography based on the fast MRI sequence (Multi-Band EPI). It is planned to identify active areas of white matter (active tracts) responsible for the realization of motor function and visual perception. The functional MRI method, universally recognized and quite popular in cognitive brain studies, clearly reveals sources of activity in the gray matter of the brain. Proposed method of functional tractography supposed to make it possible to determine the activity in the deep structures of white matter tracts, which gives a number of advantages in understanding the network interaction of human brain regions among themselves both in healthy people and in patients.