ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)


Нелинейная динамика и нейронаука

Nonlinear phenomena in Kuramoto networks with dynamical couplings

The purpose of this study is to acquaint the reader with one of the effective approaches to describing processes in adaptive networks, built in the framework of the well-known Kuramoto model. Methods. The solution to this problem is based on the analysis of the results of works devoted to the study of the dynamics of oscillatory networks with adaptive couplings.

Human brain state monitoring in perceptual decision-making tasks

The purpose of this review is to observe the current state of research on sensorimotor integration in the human brain during visual perception and subsequent decision-making under conditions of ambiguous information. Methods. This review examines the approaches of time-frequency wavelet analysis for brain activity when performing perceptual tasks, as well as the possibility of using such methods in the tasks of constructing brain – computer interfaces. Results.

Гемодинамический ответ в моторной коре на выполнение различных типов движения

Цель настоящего исследования - Изучение особенностей гемодинамического ответа на выполнение различных типов движения (одиночное движение, серия движений, «тэппинг») правой рукой.

Revealing the neural network underlying covert picture-naming paradigm using magnetoencephalography

We have conducted a series of MEG experiments based on the covert picture-naming task with fourteen non-native English speakers, who made up three groups with different kinds of language training and proficiencies. We found two stages of brain response, corresponding to sensory and semantic processing, which differed in spatio-temporal cortical activation. The active regions found in our two-stage response are consistent with the active regions found in other studies based on techniques such as fMRI, ECoG, and direct electrical stimulation. The sensory processing stage remained uniform across the three differently proficient groups, whereas the semantic processing stage showed inconsistencies. A new understanding of the mechanisms of covertly naming pictures and their neuronal substrate has been obtained. The complete mechanism of the semantic processing stage seems to be much more complex and requires further work. It seems that there are bidirectional connections between the three-focal network formed by fusiform gyrus, Broca's area, and Wernicke's area, and their causal relationships need to be investigated in the future. The connections of this network with the intraparietal sulcus also need to be investigated. In addition, a robust method to identify evoked response peaks needs to be developed in future. Finally, this work highlights the importance of fusiform gyrus, which is at risk of resection in mesial temporal lobe epilepsies.

Влияние "сенсорной предыстории" на обработку головным мозгом неоднозначных визуальных стимулов

Цель исследования - изучить влияние особенностей сенсорной информации, предшествующей целевому визуальному стимулу, на его обработку нейронной сетью коры головного мозга. В качестве визуальных стимулов используются неоднозначные изображения - кубы Неккера с высокой и низкой степенью неоднозначности.

Modern Approaches to the Formation of Intelligent Monitoring in the Context of Digital Manufacturing

The purpose of this study is to analyze the problems and approaches to intelligent monitoring in multiproduct automated production with regard to its digitalization; examine an example of the manufactured part quality monitoring based on neural networks. Methods. The paper investigates the possibility of using artificial neural networks to monitor the quality of manufactured parts in real time. Results.

Calcium concentration in astrocytes: Emergence of complicated spontaneous oscillations and their cessation

The purpose of this work is to show the mechanisms of transitions between different dynamic modes of spontaneous astrocytic calcium activity. With this aim, dynamics of recently introduced Lavrentovich–Hemkin mathematical model was examined by both analytical and numerical techniques. Methods. In order to obtain the conditions for the oscillations cessation, the linear stability analysis for the equilibrium point was carried out. Complicated dynamics was studied numerically by calculations of time traces and bifurcation diagrams. Results.

Network activity in primary hippocampal cultures upon HIF-prolyl hydroxylase inhibition

Neural network functional activity study and estimation of activity changes in different pathological states (e.g. in hypoxia conditions) is an important scientific task. Hypoxia is one of key damaging factors of various brain pathologies such as stroke, traumatic brain injury, neurodegenerative disease etc. Hypoxia causes structural and functional destruction of neuron-glial networks. The protein calls hypoxia-inducible factor (HIF) is one of the main endogenous molecular regulators of the cell’s response to hypoxia.

Recurrence quantification analysis provides the link between age-related decline in motor brain response and complexity of the baseline EEG

The goal of the present study is to investigate the effect of healthy aging on the neuronal mechanisms supporting human brain activity during motor task performance. Such biomarkers of the age-related changes can be detected using mathematical methods of time-series analysis and complexity analysis. Methods. In the present paper, recurrence quantification analysis (RQA) measures are employed to explore the complexity of the pre-movement EEG in young and elderly adult groups.

Boundaries of computational complexity and optimal cluster’s quantity for controlled swarm in non-cooperative games

The purpose of the work is to determine the relationship between the computational complexity of controlling a swarm of particles and the available computational resources for choosing the optimal control strategy. We find formulas for the relationship between the available computational complexity, the number of clusters in the swarm, the number of interacting players, and the depth of calculations to search the suboptimal control. Methods. To find the optimal control, the method of maximizing the target objective function is used.

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