?
Long-range temporal correlations in neural narrowband time-series arise due to critical dynamics
Plos One. 2017. Vol. 12. No. 5. P. 1-28.
Blythe D. ., Nikulin V.
We show theoretically that the hypothesis of criticality as a theory of long-range fluctuation in the human brain may be distinguished from the theory of passive filtering on the basis of macroscopic neuronal signals such as the electroencephalogram, using novel theory of narrowband amplitude time-series at criticality. Our theory predicts the division of critical activity into meta-universality classes. As a consequence our analysis shows that experimental electroencephalography data favours the hypothesis of criticality in the human brain.
Publication based on the results of:
Pushkarev E., Вестник Южно-Уральского государственного университета. Серия: Лингвистика 2015 Т. 12 № 4 С. 56-60
The paper theorizes on the general architectonics of idealized cognitive models (ICMs) and their involvement in metonymy and metaphor. The article posits that an ICM's structure should reflect the architecture of the neural network/s engaged in processing of a given concept. The ICM nodes, or cogs, construct a complex, hierarchically organized neural connections, with the ...
Added: December 8, 2015
Blagoveshchensky E., Агранович О. Е., Кононова Е. Л. et al., Нервно-мышечные болезни 2018 Т. 8 № 2 С. 25-32
Background.
Arthrogryposis is one of the most severe congenital abnormalities of the musculoskeletal system characterized by 2 or more contractures of the large joints, muscle and anterior grey column pathology. One of the main problems making self-care limited or impossible for the patients is an absence of the active movements in the joints of the upper ...
Added: October 31, 2018
Pokhoday M., Bermúdez-Margaretto B., Shtyrov Y. et al., , in : Language Electrified. : Springer Publishing Company, 2021.
Rapid technological advancements have led to a significant progress in research methods for cognitive sciences. Today scientists can easily use various neurophysiological methods in order to study human behavior and its underlying brain mechanisms and cognitive processes. Among such methods is eye-tracking — a technique allowing recording and analysis of the online oculomotor behavior. Since ...
Added: October 1, 2020
Arutyunov G.A., Avdoshin S. M., Proceedings of the Institute for System Programming of the RAS 2022 Vol. 34 No. 4 P. 79-88
IT industry has been thriving over the past decades. Numerous new programming languages have emerged, new architectural patterns and software development techniques. Tools involved in the process ought to evolve as well. One of the key principles of new generation of instruments for software development would be the ability of the tools to learn using ...
Added: December 26, 2022
Boran E., Fedele T., Steiner A. et al., Scientific data 2020 Vol. 7 No. 1 P. 1-7
We present an electrophysiological dataset recorded from nine subjects during a verbal working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for the localization of epileptic seizures. Subjects performed a modified Sternberg task in which the encoding of memory items, maintenance, and recall were temporally separated. The dataset includes simultaneously recorded scalp EEG with ...
Added: May 18, 2020
Arkhipova M., Экономика региона 2022 Т. 18 № 2 С. 581-594
The article examines new methodologies for modelling crop yield in agricultural regions of Russia based on the use of remote capabilities to get information on the field state. The proposed approach can be applied to develop indicator systems and create methodological platforms and models necessary to obtain more accurate estimates. In comparison with the traditional ...
Added: January 12, 2023
Stephani T., Waterstraat G., Curio G. et al., Journal of Neuroscience 2020 Vol. 40 No. 34 P. 6572-6583
Brain responses vary considerably from moment to moment, even to identical sensory stimuli. This has been attributed to changes in instantaneous neuronal states determining the system's excitability. Yet the spatiotemporal organization of these dynamics remains poorly understood. Here we test whether variability in stimulus-evoked activity can be interpreted within the framework of criticality, which postulates ...
Added: September 15, 2020
Izmailov P., Garipov T., Подоприхин Д. А. et al., , in : Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018). : [б.и.], 2018. P. 876-885.
Deep neural networks are typically trained by optimizing a loss function with an SGD variant, in conjunction with a decaying learning rate, until convergence. We show that simple averaging of multiple points along the trajectory of SGD, with a cyclical or constant learning rate, leads to better generalization than conventional training. We also show that ...
Added: February 27, 2019
Shtyrov Y., Vukovic N., Neuroimage 2017 Vol. 161 P. 120-133
To help us live in the three-dimensional world, our brain integrates incoming spatial information into reference frames, which are based either on our own body (egocentric) or independent from it (allocentric). Such frames, however, may be crucial not only when interacting with the visual world, but also in language comprehension, since even the simplest utterance ...
Added: October 23, 2017
Proceedings of the IEEE 2021 P. 450-454
Anxiety is one of the most prevalent mental disorders, affecting approximately 5-10% of the adult population worldwide. It can severely impact quality of life, but also place a large burden on the health systems. Despite its omnipresence and impact on mental and physical health, most of the individuals suffering from anxiety do not receive appropriate ...
Added: October 6, 2021
Blagoveshchensky E., Agranovich O., Kononova E. et al., Neuromuscular Diseases 2018 No. 8 P. 10-17
Arthrogryposis is one of the most severe congenital abnormalities of the musculoskeletal system characterized by 2 or more contractures of the large joints, muscle and anterior grey column pathology. One of the main problems making selfcare limited or impossible for the patients is an absence of the active movements in the joints of the upper ...
Added: October 28, 2019
Zinchenko O., Klucharev V., Frontiers in Human Neuroscience 2017 No. 11 P. 1-3
More than a decade of neuroimaging research has established that several distinct brain networks are consistently recruited during social punishment, that is, the propensity of cooperative individuals to spend some of their resources penalizing norm violators. Studies in behavioral economics have shown that social punishment can explain why genetically unrelated individuals are often able to ...
Added: October 9, 2017
Bocharov A. V., Savostyanov A. N., Saprigyn A. E. et al., Human Physiology 2023 Vol. 49 No. 1 P. 42-51
The study involved 42 individuals (including 25 women) in the age range from 18 to 41 The aim of
the study was to investigate the peculiarities of oscillatory dynamics accompanying the processes of interac
tion with a virtual character and to localize the effects detected. During the recording of the electroencepha
logram (EEG), the subjects were asked to ...
Added: May 10, 2023
Magaj G., Soroka A., Studies in Computational Intelligence, 2023
The basis of transfer learning methods is the ability of deep neural networks to use knowledge from one domain to learn in another domain. However, another important task is the analysis and explanation of the internal representations of deep neural networks models in the process of transfer learning. Some deep models are known to be ...
Added: October 25, 2023
Petrosyan A., Voskoboynikov A., Sukhinin D. et al., Journal of Neural Engineering 2022 Vol. 19 No. 6 Article 066016
Objective. Speech decoding, one of the most intriguing brain-computer interface applications, opens up plentiful opportunities from rehabilitation of patients to direct and seamless communication between human species. Typical solutions rely on invasive recordings with a large number of distributed electrodes implanted through craniotomy. Here we explored the possibility of creating speech prosthesis in a minimally ...
Added: December 9, 2022
Razorenova A., Yavich N., Malovichko M. et al., , in : Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology. Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020. Lecture Notes in Computer Science. Vol. 12449: Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology.: Springer, 2020. Ch. 5. P. 45-55.
Electroencephalography (EEG) is a well-established non-invasive technique to measure the brain activity, albeit with a limited spatial resolution. Variations in electric conductivity between different tissues distort the electric fields generated by cortical sources, resulting in smeared potential measurements on the scalp. One needs to solve an ill-posed inverse problem to recover the original neural activity. In this article, ...
Added: December 10, 2020
Portnova G., Tetereva A., Ivanitsky A. et al., Psychology. Journal of the Higher School of Economics 2020 Vol. 17 No. 3 P. 592-607
Our research aims to study the difference in resting-state during EEG and fMRI experimental conditions, each of which has its own peculiarities. Therefore, we conducted EEG and fMRI experiments very close in terms of conditions, during which 108 and 109 healthy participants, respectively, were recorded at rest for ten minutes. Subjective content of conscious during ...
Added: October 8, 2020
Fedele T., Boran E., Chirkov V. et al., Scientific data 2021 Vol. 8 P. 1-6
We present an electrophysiological dataset collected from the amygdalae of nine participants attending a visual dynamic stimulation of emotional aversive content. The participants were patients affected by epilepsy who underwent preoperative invasive monitoring in the mesial temporal lobe. Participants were presented with dynamic visual sequences of fearful faces (aversive condition), interleaved with sequences of neutral ...
Added: January 31, 2021
Dähne S., Nikulin V., Ramírez D. et al., Neuroimage 2014 No. 96 P. 334-348
Phase synchronization among neuronal oscillations within the same frequency band has been hypothesized to be a major mechanism for communication between different brain areas. On the other hand, cross-frequency communications are more flexible allowing interactions between oscillations with different frequencies. Among such cross-frequency interactions amplitude-to-amplitude interactions are of a special interest as they show how ...
Added: October 23, 2014
PMLR, 2022
Added: July 27, 2022
Osipov D., Евразийский филологический вестник 2023 No. 2 P. 21-39
The metaverse is a shared, virtual space, accessible to users worldwide, offering a platform for global interaction. The physical barriers of geographical location and time are non-existent, allowing for seamless connectivity and interaction. Language barriers within and between metaverses present substantial impediments to fluid interaction and collaboration. Failure to address this linguistic divergence can stifle ...
Added: March 19, 2024
Kascheev N. I., Kozyrev O., Leykin M. et al., , in : Proceedings of XV IEEE East-West Design & Test Symposium (EWDTS'2017). : Piscataway : IEEE, 2017. P. 1-4.
The secular outcome of our investigation is development of new monitoring service for glucose control related to diabetes. It is based on the main results of research: 1) New innovative wearable sensor that carry non-invasive measurement of glucose level. Sensor uses several independent technologies, simultaneously: radio-frequency with different levels of signal, ultrasonic, electromagnetic and thermal; ...
Added: February 20, 2018
Oksana Zinchenko, Alexey Gorin, Anush Revazyan et al., Neuroscience Letters 2023 Vol. 808 Article 137276
Human societies benefit from social norms that increase cooperation and support social order. Hence, the understanding of effective mechanisms enforcing norms is crucial. One of such mechanisms is “third-party punishment” (TPP) – a form of social punishment that could be delivered by a third-party, not directly affected by the actions of the norm violator. Previous ...
Added: July 3, 2023
Semenenko M. G., Kniazeva I. V., Beckel L. S. et al., , in : IOP Conference Series: Materials Science and Engineering, Volume 537, Issue 3. Vol. 537. Issue 3.: Institute of Physics Publishing (IOP), 2019.
Added: October 20, 2021