检索结果-内蒙古大学图书馆

12th International Conference on CYBER technology in Automation, Control, and Intelligent Systems, CYBER 2022

作者： Zhang, Jing Liu, Lusheng Wang, Aiping Wang, Junkongshuai Fang, Tao Niu, Lan Bin, Jianxiong Wang, Pengchao Mu, Wei Jia, Jie Zhang, Lihua Kang, Xiaoyang Laboratory for Neural Interface and Brain Computer Interface Engineering Research Center of Ai and Robotics Ministry of Education Shanghai Engineering Research Center of Ai and Robotics Moe Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of Ai and Robotics Academy for Engineering and Technology Fudan University Shanghai200433 China Ji Hua Laboratory Guangdong Province Foshan528200 China Department of Rehabilitation Medicine Huashan Hospital Fudan University Shanghai200040 China Yiwu Research Institute of Fudan University Zhejiang Yiwu City322000 China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou311121 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

The simulation of two basic equivalent circuit models of the implantable neural interface is described in this paper. The simulated equivalent circuits are created based on the physicochemical mechanism of charge transfer on the surface of the implantable neural interface. Each parameter of the equivalent circuit model was varied to investigate the regular pattern of individual element affecting the performance of the implantable neural interface. In this paper, one circuit model is based on the charge transfer process, and another circuit model is based on the mixed charge transfer and diffusion process. The equivalent circuits are split into two parts. The neural interface of the implantable neural interface device is simulated in one part, and the rest of that is simulated in another part. The electrochemical impedance data is acquired firstly by simulating the equivalent circuit with Z-view software. Then, the simulated data was analyzed to investigate the change tendency of a single parameter, providing a theoretical method for developing customized implantable neural interface with specific electrochemical impedance. © 2022 IEEE.

关键词： Equivalent circuits

来源：评论

学校读者我要写书评

暂无评论

A TB-CSP Motor Imagery EEG Recognition Method for Neural-controlled Manipulator System 12

A TB-CSP Motor Imagery EEG Recognition Method for Neural-con...

引用

12th International Conference on CYBER technology in Automation, Control, and Intelligent Systems, CYBER 2022

作者： Mu, Wei Wang, Pengchao Wang, Junkongshuai Fang, Tao Wang, Aiping Niu, Lan Bin, Jianxiong Liu, Lusheng Zhang, Jing Jia, Jie Zhang, Lihua Kang, Xiaoyang Laboratory for Neural Interface and Brain Computer Interface Engineering Research Center of Ai and Robotics Ministry of Education Shanghai Engineering Research Center of Ai and Robotics Moe Frontiers Center for Brain Science State Key Laboratory of Medical Neurobiology Institute of Ai and Robotics Academy for Engineering and Technology Fudan University Shanghai200433 China Ji Hua Laboratory Guangdong Province Foshan528200 China Department of Rehabilitation Medicine Huashan Hospital Fudan University Shanghai200040 China Yiwu Research Institute of Fudan University Zhejiang Yiwu City322000 China Research Center for Intelligent Sensing Zhejiang Lab Hangzhou311121 China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

To develop a manipulator system based on spontaneous EEG signal control, this paper proposes a common spatial pattern method combined with the Bhattacharyya distance of time-frequency signal (TB-CSP) for EEG signal feature extraction. Firstly, for different subjects, the original EEG signal is divided by a specific time window and different frequency band;Secondly, the average Bhattacharyya distance of different frequency bands in a specific time window is calculated to select the optimal time-frequency signal and input it to CSP for feature extraction;Finally, the extracted features are input into SVM and LDA to classify and complete the control of the manipulator. The proposed method achieves 82.6% accuracy on the public dataset BCI IVa and 79.48% accuracy on the self-collected dataset. © 2022 IEEE.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

A Compact Dead-Zone-Free Multi-Channel Stimulation and Recording System for Precision Peripheral Nerve Modulation 46

A Compact Dead-Zone-Free Multi-Channel Stimulation and Recor...

引用

46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Xing, Yanjie Chen, Weihuang Yu, Danlei Gao, Xiang Bao, Jieting Xu, Kedi Zhejiang China Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal Key Laboratory of Biomedical Engineering of Education Ministry Department of Biomedical Engineering Zhejiang University Hangzhou China Institute of Advanced Digital Technology and Instrument Zhejiang University Hangzhou310027 China Zhejiang Provincial Key Laboratory for Network Multimedia Technologies Zhejiang University Hangzhou310027 China Binjiang Institude of Zhejiang University Hangzhou310027 China Nanhu Brain-computer interface institute Hangzhou311100 China Zhejiang University Hangzhou China The State Key Lab of Brain-Machine Intelligence Zhejiang University Hangzhou China

ISBN: (纸本)9798350371499

Peripheral nerve modulation has a certain potential in motor recovery, but the majority of systems suffer from the drawback of dead time caused by switching channels to achieve multi-channel stimulation. As a response to this challenge, we have developed a peripheral nerve modulation device with 64-channel recording and 16-channel stimulation without dead time. Through modulation of the rat sciatic nerve, we identified the crucial role of initial phase and amplitude in the outcomes of dual-channel combined stimulation. This design not only enhanced neural activation capabilities with constant power supply but also achieves more precise neural activation and reduces unintentional activation. © 2024 IEEE.

关键词： Recording instruments

来源：评论

学校读者我要写书评

暂无评论

Active Learning for High-Quality Sawtooth Wave Dataset Generation in Sleep Analysis

Active Learning for High-Quality Sawtooth Wave Dataset Gener...

引用

Frontiers technology of Information and computer (ICFTIC), IEEE International Conference on

作者： Jinghuang Chen Xiaoyu Bao Yuntao Ye Qiyun Huang School of Automation Science and Engineering South China University of Technology Guangzhou China Pazhou Laboratory Research Center for Brain-Computer Interface Guangzhou China

ISBN: (数字)9798331541750

ISBN: (纸本)9798331541767

Sawtooth Waves (STW) that occur during Rapid Eye Movement (REM) sleep are closely associated with memory consolidation and the regulation of brain functions. However, due to challenges in data acquisition and the high cost of manual annotation, there is currently an absence of a publicly massive STW annotated dataset. This study focuses on constructing a high-quality STW dataset, comprising 4912 samples from 200 participants, and developing classification algorithms for STW detection. We utilized three prevalent algorithms-Support Vector Machine (SVM), Multilayer Perceptron (MLP), and Convolutional Neural Network (CNN)-to assess the dataset's quality. The dataset achieved a maximum classification accuracy of 95.62% with the CNN, confirming the gold standard of STW dataset. Finally, we studied age and gender difference in physiological characteristics of STW, including average frequency of STW, peak-to-peak amplitude(PTP), root mean square(RMS) and spectrum power. This study created a public STW dataset and a STW detection model, laying the groundwork for analyzing the mechanisms of STW events.

关键词： Support vector machines Accuracy Annotations Active learning Vectors Regulation Classification algorithms Convolutional neural networks Rapid eye movement sleep Signal analysis

来源：评论

学校读者我要写书评

暂无评论

Learning Representation for Clustering via Prototype Scattering and Positive Sampling

arXiv

引用

arXiv 2021年

作者： Huang, Zhizhong Chen, Jie Zhang, Junping Shan, Hongming The Shanghai Key Lab of Intelligent Information Processing The School of Computer Science Fudan University Shanghai200433 China Institute of Science and Technology for Brain-inspired Intelligence MOE Frontiers Center for Brain Science Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Shanghai200433 China Shanghai Center for Brain Science and Brain-inspired Technology Shanghai201210 China

Existing deep clustering methods rely on either contrastive or non-contrastive representation learning for downstream clustering task. Contrastive-based methods thanks to negative pairs learn uniform representations for clustering, in which negative pairs, however, may inevitably lead to the class collision issue and consequently compromise the clustering performance. Non-contrastive-based methods, on the other hand, avoid class collision issue, but the resulting non-uniform representations may cause the collapse of clustering. To enjoy the strengths of both worlds, this paper presents a novel end-to-end deep clustering method with prototype scattering and positive sampling, termed ProPos. Specifically, we first maximize the distance between prototypical representations, named prototype scattering loss, which improves the uniformity of representations. Second, we align one augmented view of instance with the sampled neighbors of another view—assumed to be truly positive pair in the embedding space—to improve the within-cluster compactness, termed positive sampling alignment. The strengths of ProPos are avoidable class collision issue, uniform representations, well-separated clusters, and within-cluster compactness. By optimizing ProPos in an end-to-end expectation-maximization framework, extensive experimental results demonstrate that ProPos achieves competing performance on moderate-scale clustering benchmark datasets and establishes new state-of-the-art performance on large-scale datasets. Copyright © 2021, The Authors. All rights reserved.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

Identifying extracerebellar characteristics in a large cohort of 319 Chinese patients with spinocerebellar ataxia type 3

引用

Chinese Medical Journal 2024年第17期137卷 2131-2133页

作者： Donghui Li Jinyang Yu Chenhao Zhu Yichu Du Yin Ma Yi Dong Zhiying Wu Department of Medical Genetics and Center for Rare Diseases and Department of Neurology in Second Affiliated Hospitaland Zhejiang Key Laboratory of Rare Diseases for Precision Medicine and Clinical TranslationZhejiang University School of MedicineHangzhouZhejiang 310009China Nanhu Brain-Computer Interface Institute HangzhouZhejiang 311100China Department of Neurology Changxing People’s HospitalChangxingZhejiang 313100China MOE Frontier Science Center for Brain Science and Brain-Machine Integration School of Brain Science and Brain MedicineZhejiang UniversityHangzhouZhejiang 310012China

To the Editor:Spinocerebellar ataxia type 3(SCA3)is the predominant subtype,representing 48-73%of all SCAs in the Chinese population.[1]It primarily manifests as progressive ataxia,characterized by unsteady gait,dysarthria,and limb clumsiness,due to cerebellar and interconnected gray matter ***,extracerebellar features such as extrapyramidal and oculomotor abnormalities,and spasticity,often remain *** complexity can lead to misdiagnosis,underscoring the necessity for a more comprehensive understanding of both cerebellar and extracerebellar symptoms.

关键词： representing cerebellar predominant

来源：评论

学校读者我要写书评

暂无评论

Ventral stream plays an important role in statistical graph comprehension: An fMRI study

Ventral stream plays an important role in statistical graph ...

引用

2014 International Conference on brain Informatics and Health, BIH 2014

作者： Li, Mi Lu, Shengfu Wang, Jing Ma, Liwang Zhang, Mengjie Zhong, Ning International WIC Institute Beijing University of Technology Beijing 100024 China School of Computer and Communication Engineering Liaoning ShiHua University Liaoning 113001 China Dept. of Life Science and Informatics Maebashi Institute of Technology Maebashi-City 371-0816 Japan Beijing International Collaboration Base on Brain Informatics and Wisdom Services China Beijing Key Laboratory of MRI and Brain Informatics China

ISBN: (纸本)9783319098906

Although statistical graph comprehension has been investigated in cognitive psychology, it has not been reported in cognitive neuroscience. The study designed an experimental condition, i.e., a statistical graph (SG), and two control conditions, i.e., a text (ST) and a statistical graph with text (SGT), where the ST is a verbal description of the information from the SG, and the SGT is a mixed graph + textual description. We used fMRI to analyze the brain activity of 36 normal subjects while they passively view the statistical information presented in any of SG, ST, and SGT. The results indicate that statistical graph comprehension requires the involvement of both ventral and dorsal streams, with more dependence on the ventral stream than the dorsal. © 2014 Springer International Publishing.

关键词： Statistics

来源：评论

学校读者我要写书评

暂无评论

Imitating and exploring the human brain's resting and task-performing states via brain computing: scaling and architecture

引用

National science Review 2024年第5期11卷 17-28页

作者： Wenlian Lu Longbin Zeng Jiexiang Wang Shitong Xiang Yang Qi Qibao Zheng Ningsheng Xu Jianfeng Feng DTB Consortium Institute of Science and Technology for Brain-Inspired Intelligence Fudan University Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence(Fudan University) Ministry of Education Fudan University Shanghai Center for Mathematical Sciences Fudan University Department of Computer Science University of Warwick Zhangjiang Fudan International Innovation Center Fudan University

A computational human brain model with the voxel-wise assimilation method was established based on individual structural and functional imaging data. We found that the more similar the brain model is to the biological counterpart in both scale and architecture, the more similarity was found between the assimilated model and the biological brain both in resting states and during tasks by quantitative metrics. The hypothesis that resting state activity reflects internal body states was validated by the interoceptive circuit's capability to enhance the similarity between the simulation model and the biological brain. We identified that the removal of connections from the primary visual cortex(V1) to downstream visual pathways significantly decreased the similarity at the hippocampus between the model and its biological counterpart,despite a slight influence on the whole brain. In conclusion, the model and methodology present a solid quantitative framework for a digital twin brain for discovering the relationship between brain architecture and functions, and for digitally trying and testing diverse cognitive, medical and lesioning approaches that would otherwise be unfeasible in real subjects.

关键词： digital twin brain computational cortico-subcortical model fMRI data assimilation interoceptive circuit

来源：评论

学校读者我要写书评

暂无评论

Adaptive Neural Control of a Class of Pure-Feedback Nonlinear Systems with Full State Constrains

Adaptive Neural Control of a Class of Pure-Feedback Nonlinea...

引用

第37届中国控制会议

作者： Min Wang Yongtao Zou School of Automation Science and Engineering Guangzhou Key Laboratory of Brain Computer Interaction and ApplicationsSouth China University of Technology

In this paper, a new adaptive control design technique is proposed for a class of pure-feedback nonlinear systems with full state constraints. With a nonlinear state transition function proposed, the considered pure-feedback nonlinear system is converted into a new pure-feedback system without state constraints. Then the mean value theorem is used to transform the non-affine system into the affine one. Subsequently, a useful lemma is developed, which effectively conquers the reconstruction question of the controller, so that the adaptive backstepping technique can be extended to the non-strict nonlinear system. As a result, a novel control scheme is proposed to ensure that the closed-loop system are semi-globally uniformly ultimately bounded and the full state constraints are not violated. Numerical simulation is presented to illustrate the effectiveness of the proposed approach.

关键词： State constraints adaptive control pure-feedback systems

来源：评论

学校读者我要写书评

暂无评论

Learning from Adaptive Neural Control of Manipulator Using an ISS-Modular Approach

Learning from Adaptive Neural Control of Manipulator Using a...

引用

第28届中国控制与决策会议

作者： Anle Yang Min Wang School of Automation Science and Engineering Guangzhou Key Laboratory of Brain Computer Interaction and ApplicationsSouth China University of Technology

ISBN: (纸本)9781467397155

This paper studies learning from adaptive neural control of manipulator using an input-to-state stability(ISS) modular *** order to remove the limitation of the derivative of the affine term in robot manipulator,an ISS modular method is introduced into this ***,the proposed adaptive neural control law,based on the ISS modular method and backstepping technology,guarantees the boundedness of all signals in closed-loop system and exponential convergence of tracking ***,by using a state transformation strategy and coupling with the established partial persistent excitation(PE) condition,neural network(NN) weight values converge exponentially to their optimal *** convergent weights which are stored as the constant experienced knowledge make the learning control for a similar task *** results are shown to demonstrate the effectiveness of the proposed control method.

关键词： ISS adaptive neural control robot manipulator PE deterministic learning

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：