检索结果-内蒙古大学图书馆

3rd School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2019

作者： Badarin, Artem Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (纸本)9781728124704

This paper presents the results of a study of the nonlinear dynamics of a system with several electron beams. A review and analysis of the latest results obtained in this area. In this case, the main emphasis in this work is made on controlling the generation characteristics in such a highly nonlinear system. The main dynamic modes typical for this kind of systems are shown. © 2019 IEEE.

关键词： Electron beams

来源：评论

学校读者我要写书评

暂无评论

Cognitive interaction via a brain-to-brain interface

Cognitive interaction via a brain-to-brain interface

引用

Nonlinearity, Information and robotics, (NIR) International Conference

作者： Vladimir Maksimenko Vadim Grubov Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (数字)9781728187631

ISBN: (纸本)9781728187648

We developed noninvasive brain-to-brain interface for dynamical redistribution of cognitive load between subjects according to their current performances during shared cognitive task. As a result, a participant who exhibits higher cognitive performance is subjected to a higher workload, while his/her partner receives a lower workload. We demonstrate that dynamical workload redistribution allows to increase overall cognitive performance in the pair of interacting subjects.

关键词： Training Systematics Task analysis Robots

来源：评论

学校读者我要写书评

暂无评论

Features of brain activity in children during cognitive tasks of different types 3

Features of brain activity in children during cognitive task...

引用

3rd School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2019

作者： Grubov, Vadim Maksimenko, Vladimir Makarov, Vladimir Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (纸本)9781728124704

EEG signals of children were recorded during cognitive load of various types in accordance with proposed design of experiment. Obtained EEG data were analyzed with methods of time-frequency analysis and statistics. Differences in time-frequency structure of EEG signals and ratio between frequency ranges was shown for background activity and two types of cognitive activity. © 2019 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Noise amplification precedes extreme epileptic events on human EEG

引用

Physical Review E 2021年第2期103卷 022310-022310页

作者： Oleg E. Karpov Vadim V. Grubov Vladimir A. Maksimenko Nikita Utaschev Viachaslav E. Semerikov Denis A. Andrikov Alexander E. Hramov National Medical and Surgical Center named after N. I. Pirogov Ministry of Healthcare of the Russian Federation 105203 Moscow Russia Research and Production Company “Immersmed” Moscow 105203 Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University 420500 Kazan Russia

Extreme events are rare and sudden abnormal deviations of the system's behavior from a typical state. Statistical analysis reveals that if the time series contains extreme events, its distribution has a heavy tail. In dynamical systems, extreme events often occur due to developing instability preceded by noise amplification. Here, we apply this theory to analyze generalized epileptic seizures in the human brain. First, we demonstrate that the time series of electroencephalogram (EEG) spectral power in a frequency band of 1–5 Hz obeys a heavy-tailed distribution, confirming the presence of extreme events. Second, we report that noise on EEG signals gradually increases before the seizure onset. Thus, we hypothesize that generalized epileptic seizures in humans are the extreme events emerging from instability accompanied by preictal noise amplification similar to other dynamical systems.

关键词： Epilepsy Neuronal dynamics Brain network Extreme event statistics

来源：评论

学校读者我要写书评

暂无评论

Features of real and imaginary motor activity on EEG and fNIRS signals for neurorehabilitation 3

Features of real and imaginary motor activity on EEG and fNI...

引用

3rd School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2019

作者： Grubov, Vadim Frolov, Nikita Pitsik, Elena Badarin, Artem Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (纸本)9781728124704

Experimental design for recording of EEG and fNIRS during performance of real and imaginary movement was proposed. Set of experiments was conducted in accordance with this design and obtained EEG and fNIRS dataset was analyzed. Analysis allowed to introduce certain features in time- frequency domain that can be used to separate real motor activity from imaginary. © 2019 IEEE.

关键词： Frequency domain analysis

来源：评论

学校读者我要写书评

暂无评论

Recurrence plot structure of motor-related human EEG 3

Recurrence plot structure of motor-related human EEG

引用

3rd School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2019

作者： Pitsik, Elena Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (纸本)9781728124704

In present paper we consider structure of recurrence plot (RP) of human motor-related electroencephalography (EEG) signal recorded in somatosensory cortex and filtered in mu-band (8-13 Hz). We show that in averaged EEG signal background activity is mostly characterized by the diagonal lines, while motor task execution is associated with increase of recurrence points density and the emergence of vertical and horizontal lines. We also demonstrate that these features of RP structure also observed in single EEG trials. © 2019 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

The activity of the brain cortical network during solving tasks

The activity of the brain cortical network during solving ta...

引用

School on Dynamics of Complex Networks and their Application in Intellectual robotics (DCNAIR)

作者： Artem Badarin Vadim Grubov Vladimir Maksimenko Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

In this paper, we analyze the functional connectivity between changes in the concentration of oxyhemoglobin, deoxyhemoglobin, and total hemoglobin, recorded by various leads of fNIRS from the frontal and parietal cortex. The obtained coefficients characterizing the functional connectivity between a pair of leads were presented in the form of a matrix. We analyzed the changes in functional connectivity during the performance of the subject of simple cognitive tasks associated with spatial perception.

关键词： Photonics Correlation Task analysis Neuroscience Optics Robots Brain

来源：评论

学校读者我要写书评

暂无评论

Bistable Dynamics of the Brain Extracellular Matrix in the Presence of Periodically Varying Neuronal Activity 5

Bistable Dynamics of the Brain Extracellular Matrix in the P...

引用

5th Scientific School on Dynamics of Complex Networks and their Applications, DCNA 2021

作者： Rozhnova, Maiya A. Kazantsev, Victor B. Pankratova, Evgeniya V. Department of Applied Mathematics Institute of Information Technologies Mathematics and Mechanics Lobachevsky State University of Nizhni Novgorod Nizhny Novgorod Russia Neurotechnology Department Lobachevsky State University Nizhny Novgorod Russia Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Neuroscience Research Institute Samara State Medical University Samara Russia Center for Neurotechnology and Machine Learning Immanuel Kant Baltic Federal University Kaliningrad Russia

ISBN: (纸本)9781665442824

In this work, the role of the amplitude and frequency of the periodically varying neuronal firing rate in emergence of complicated dynamical modes in recently proposed mathematical model describing the change of extracellular matrix molecules concentration, was examined. Impact of the revealed co-existence of regular and chaotic modes in the extracellular matrix activity on the whole neuronal network functioning is discussed. © 2021 IEEE

关键词： Brain

来源：评论

学校读者我要写书评

暂无评论

Analysis of EEG spectral amplitudes during ambiguous information processing

Analysis of EEG spectral amplitudes during ambiguous informa...

引用

School on Dynamics of Complex Networks and their Application in Intellectual robotics (DCNAIR)

作者： Alexander Kuc Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Republic of Tatarstan Russia

We analyzed the dynamics of EEG spectral amplitudes in α- and β-frequency bands during ambiguous visual stimuli processing. As a result, we described differences in the cortical activity during the processing of vis... 详细信息

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

关键词： Electroencephalography Visualization Analysis of variance Information processing Neuroscience Wavelet analysis Time-frequency analysis

来源：评论

学校读者我要写书评

暂无评论

Analysis of the features of brain neuronal sources during imagery motor activity: MEG study

Analysis of the features of brain neuronal sources during im...

引用

School on Dynamics of Complex Networks and their Application in Intellectual robotics (DCNAIR)

作者： Semen Kurkin Parth Chholak Alexander Pisarchik Alexander Hramov Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University Russia Center for Biomedical Technology Technical University of Madrid Madrid Spain

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

We analyzed the features of motor imagery (imagery arms movements) in the source level, applying the Dynamic Imaging of Coherent Sources method to MEG signals. We obtained the results that have confirmed the existence of two types of motor imagery: visual imagery and kinesthetic imagery. We have analyzed averaged distributions of normalized sources power for the visual imagery and kinesthetic imagery subgroups of volunteers and identified the main differences between these types of motor imagery in terms of the excitation of sources of neural activity.

关键词： Visualization Photonics Electroencephalography Optics Robots Magnetic resonance imaging Brain modeling

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：