检索结果-内蒙古大学图书馆

4th Scientific School on Dynamics of Complex Networks and their Application in Intellectual robotics, DCNAIR 2020

作者： Balanov, Alexander Andreev, Andrey Fromhold, Mark Greenaway, Mark Hramov, Alexander Li, Weibin Makarov, Vladimir Zagoskin, Alexandre Loughborough University Department of Physics Loughborough United Kingdom Innopolis University Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis Russia University of Nottingham School of Physics and Astronomy Nottingham United Kingdom Department of Theoretical Physics and Quantum Technologies National University of Science and Technology MISIS Moscow Russia

ISBN: (纸本)9781728172866

We study the chain of coupled quantum coherent systems with energy pumping and dissipation. Examples of such systems include the coupled Rydberg atoms with laser driving and spontaneous emission or electromagnetically driven artificial qubits with decoherence and dissipation. We found out that such system is able to demonstrate spontaneous onset of chaotic and even hyperchaotic oscillations, which are characterized by one or several positive Lyapunov exponents. Remarkably, the number of the positive Lyapunov exponents grows with the number of the chain elements. Hence a large chain is able to demonstrate highly irregular behavior. We investigate transition from regular to chaotic behavior and reveal the related instabilities. © 2020 IEEE.

关键词： Lyapunov methods

来源：评论

学校读者我要写书评

暂无评论

Highest performance requires an optimal effort: A MEG study on visual perception

Highest performance requires an optimal effort: A MEG study ...

引用

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

作者： Parth Chholak Alexander N. Pisarchik Centre for Biomedical Technology Technical University of Madrid Madrid Spain Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

Twelve subjects (6 males; 17-64 years) participated in magnetoencephalography (MEG) experiments designed to study visual response to flickering Necker cubes. Event-related fields in the lateral occipital complex and steady-state response in the visual region V1 and V2 were studied to characterise the early response time durations and attentional capacity during the trial time period of 5-s, respectively. We found that there was an optimal response time duration for which the attention capacity was maximum. The results also support the hypothesis that stimulus detection in brain is driven by coherence resonance.

关键词： Visualization Coherence Electric potential Delays Electroencephalography Magnetic resonance imaging Steady-state

来源：评论

学校读者我要写书评

暂无评论

Cascaded Constrained Optimization For Cheetah-Inspired Galloping Robot Leg Mechanism ⁎

引用

IFAC-PapersOnLine 2020年第2期53卷 9232-9237页

作者： Artem A. Egorov Ivan I. Borisov Sergey A. Kolyubin Stefano Stramigioli Biomechatronics and Energy-Efficient Robotics Lab ITMO University St. Petersburg Russia Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Department of Electrical Engineering Mathematics and Computer Science University of Twente The Netherlands

The paper describes one of the key steps in creating a bio-inspired galloping robot, namely parametric optimization of a multi-link leg mechanism. We introduce the cascaded constrained optimization procedure for finding optimal values for geometric parameters of a femur, knee, and foot segments for given design constraints and various gait specifications. The presented approach is computationally efficient and guarantees convergence to the unique solution. Steps on free parameters, constraints, and cost function selection are discussed. The efficiency of the proposed procedure is illustrated via a series of simulations. The proposed approach can also be implemented for the design of wearable robots like upper and lower-limb exoskeletons and rehabilitation systems that should follow sometimes sophisticated human-like trajectories.

关键词： Mobile robots robot design legged robots parametric optimization

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

Chimera-like state in ensemble of bistable neurons

Chimera-like state in ensemble of bistable neurons

引用

Nonlinearity, Information and robotics, (NIR) International Conference

作者： Andrey Andreev Nikita Frolov Natalija Alexandrova Marija Chaban Neuroscience and Cognitive Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Faculty of Information Technologies Saratov State University Saratov Russia

ISBN: (数字)9781728187631

ISBN: (纸本)9781728187648

We investigate the nonlinear dynamics of a neural network. As a model of a neuron, we use Hodgkin-Huxley mathematical model. We choose the neuron's parameters corresponding to a bistable region in which both fixed point and limit cycle are coexisting. We discover that depending on external current and coupling strength we can achieve a chimera-like state when one part of the neurons is in the resting state, while the other one is in the oscillatory regime in a certain area of coupling strength and external current amplitude.

关键词： Couplings Neurons Limit-cycles Nonlinear dynamical systems Mathematical model Biological neural networks Robots

来源：评论

学校读者我要写书评

暂无评论

Reward Planning for Underactuated Robotic Systems: A Study on Pendubot with Parameters Uncertainty

Reward Planning for Underactuated Robotic Systems: A Study o...

引用

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

作者： Sinan Ibrahim Ramil Khusainov Ali Jnadi S. M. Ahsan Kazmi Institute of Robotics and Computer Vision Innopolis University Russia Center for Technologies in Robotics and Mechatronics Components Innopolis University Russia Computer Science and Creative Technologies University of the West of England (UWE) Bristol United Kingdom

There is a burgeoning interest in the field of Reinforcement Learning (RL) across various domains, including robotics. Traditional control approaches for robotic systems, such as semi-definite programming (SDP) or mixed integer programming (MIP), typically rely on the assumption of a known and deterministic model of the environment. In contrast, this study aims to introduce a novel RL method for planning the reward function specifically tailored for underactuated robotic systems with parameter uncertainty. We propose a method with a single RL agent to address the challenge of swing up and balance of a Pendubot system with uncertain parameters. The ultimate objective is to enhance the system’s ability to adapt and perform reliably in the face of varying uncertainties.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Localizing oscillatory sources in a brain by MEG data during cognitive activity

Localizing oscillatory sources in a brain by MEG data during...

引用

International Conference on Computational Intelligence and Networks (CINE)

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

ISBN: (数字)9781728156880

ISBN: (纸本)9781728156897

The present work demonstrates the features and basic steps of applying the Dynamic Imaging of Coherent Sources (DICS) technique for Localizing oscillatory sources in a brain by MEG data during cognitive activity. As the example, we consider the problem of identification of the sources responsible for producing this oscillatory activity registering in the MEG experiment during the visual processing in a brain. The DICS technique has been shown to be effective in terms of localizing a region of activity in a brain related to cognitive processes. It revealed the areas in the occipital part of the brain that are responsible for processing visual stimuli. This approach allows one to obtain additional important information in the analysis of MEG data.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Classification of external signal by spiking neural network of bistable Hodgkin-Huxley neurons

Classification of external signal by spiking neural network ...

引用

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

作者： Andrey Andreev Alexander Pisarchik Neuroscience and Cognivite Technology Laboratory Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia Center for Biomedical Technology Technical University of Madrid Madrid Spain

ISBN: (数字)9781728172866

ISBN: (纸本)9781728172873

We propose a classifier consisting of Hodgkin-Huxley neurons based on the activation of a different number of neurons depending on the external current amplitude. We consider a network with 2 output neurons and train the classifier for 2 external current pulses with different amplitudes by adaptation of the couplings between neurons of the main network and the output neurons.

关键词： Neurons Couplings Neural networks Brain modeling Adaptation models Electroencephalography Neuroscience

来源：评论

学校读者我要写书评

暂无评论

ONLINE ESTIMATION OF TIME-VARYING FREQUENCY OF A SINUSOIDAL SIGNAL ⁎

引用

IFAC-PapersOnLine 2019年第29期52卷 245-250页

作者： Le Van Tuan Marina Korotina Alexey Bobtsov Stanislav Aranovskiy Anton Pyrkin Faculty of Control Systems and Robotics ITMO University 197101 Saint Petersburg Russia Center for Technologies in Robotics and Mechatronics Components Innopolis University Innopolis Russia IETR - CentraleSupélec Avenue de la Boulaie 35576 Cesson-Sévigné France

We consider the problem of estimation of a (linearly) time-varying frequency of a sinusoidal signal with unknown phase and magnitude. Such a problem may arise in control design for optical telescopes that makes it interesting from the practical point of view. The existing methods typically use unbounded functions of time that, being multiplying by the input signal, may yield significant noise amplification and poor estimation performance. In contrast, we present a novel approach to the estimation of the linearly varying frequency based on iterative filtering yielding simple linear regression model with a scalar parameter. Illustrative numerical simulations support the theoretical results. We also present a comparison with other known methods.

关键词： dynamic extension mixing persistence excitation parameter estimation least squares

来源：评论

学校读者我要写书评

暂无评论

Attention state of children during Schulte tables task

Attention state of children during Schulte tables task

引用

Nonlinearity, Information and robotics, (NIR) International Conference

作者： Vadim Grubov Vladimir Maksimenko Semen Kurkin Marina Khramova Natalya Aleksandrova Alexander Hramov Neuroscience and Cognitive Technology Lab Center for Technologies in Robotics and Mechatronics Components Innopolis University Russia Faculty of Computer Science Saratov State University Saratov Russia

ISBN: (数字)9781728187631

ISBN: (纸本)9781728187648

We have analyzed EEG signals of children during cognitive load of specific type in order to estimate level of attention during this task. EEG signals were recorded in accordance with proposed design of experiment. For obtained EEG data we have analyzed behavioral characteristics as well as EEG-related characteristics. We have found that behavioural characteristic changes through the task, so may the attention level. We have also found that cognitive task completion is accompanied by appearance of spatial structure - specific distribution of wavelet energy across cortex, which partially changes during completion of the task as well. We believe that changes in attention level are tied to changes in energy distribution, so we suggest this distribution to be used as the marker for attention state estimation.

关键词： Time-frequency analysis Education Wavelet analysis Electroencephalography Task analysis State estimation Robots

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：