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Modeling of cortical signals using echo state networks

Modeling of cortical signals using echo state networks

MIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral image processing and Pattern Recognition

作者： Zhou, Hanying Wang, Yongji Huang, Jiangshuai Key Lab. for Image Processing and Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology China

ISBN: (纸本)9780819478078

Diverse modeling frameworks have been utilized with the ultimate goal of translating brain cortical signals into prediction of visible behavior. The inputs to these models are usually multidimensional neural recordings collected from relevant regions of a monkey's brain while the outputs are the associated behavior which is typically the 2-D or 3-D hand position of a primate. Here our task is to set up a proper model in order to figure out the move trajectories by input the neural signals which are simultaneously collected in the experiment. In this paper, we propose to use Echo State Networks (ESN) to map the neural firing activities into hand positions. ESN is a newly developed recurrent neural network(RNN) model. Besides its dynamic property and short term memory just as other recurrent neural networks have, it has a special echo state property which endows it with the ability to model nonlinear dynamic systems powerfully. What distinguished it from transitional recurrent neural networks most significantly is its special learning method. In this paper we train this net with a refined version of its typical training method and get a better model. © 2009 Copyright SPIE - The International Society for Optical Engineering.

关键词： Brain

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Design of a multichannel biomedical signal acquisition system based on Cortex-M4 processor 5

Design of a multichannel biomedical signal acquisition syste...

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5th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015

作者： Yu, Zefeng Fang, Li Rong, Yibiao Chen, Yaowen Zhun, Fan Key Lab of Digital Signal and Image Processing of Guangdong Province Dept of Electronic and Information Engineering Shantou University Shantou China

ISBN: (纸本)9781479987290

A multichannel biomedical signal acquisition system based on core processor STM32F405 of the Cortex-M4 is presented in this paper. The paper describes the system mainly from the perspective of hardware and software design. The hardware design includes three major parts - the power conversion circuit, the signal acquisition circuit and the signal processing circuit. For the software module, data collection and transmission, and design of digital filters are of the research focus. It is demonstrated in experimental tests that the system can extract and collect a variety of human physiological signals in complex environments. In addition, data transmission between the system and PC is supported by Ethernet, which enables remote monitoring of biomedical signals of humans. © 2015 IEEE.

关键词： Integrated circuit design

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image interpolation based on decomposition

Image interpolation based on decomposition

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18th International Symposium on Intelligent Signal processing and Communication Systems, ISPACS 2010

作者： Guo, Nana Song, Li Yang, Xiaokang Zhang, Wenjun Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai Key Lab. of Digital Media Processing and Transmission Shanghai 200240 China

ISBN: (纸本)9781424473717

This paper proposes a new approach for interpolating natural images. Unlike other conventional interpolation methods, we exploit the characteristics of an image and decompose it into a texture part and a non-texture (cartoon) part. In the non-texture part, we interpolate it with bicubic interpolation which performs well for smooth areas. We deal the texture part with peak transform based interpolation which resets the image pixels to capture the characters of the texture through peak transform. The experiment results demonstrate our new interpolation method has higher PSNR and better subjective quality of the interpolated image, especially in the texture part. © 2010 IEEE.

关键词： Interpolation

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Research on moving object detection based on the Bayesian theory

Research on moving object detection based on the Bayesian th...

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作者： Hu, D. Liu, X. Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications China

ISBN: (纸本)9781845648282

For effective and efficient detection of moving objects from complex surveillance scenarios, a novel integrated object detection scheme based on clustering and Bayesian theory is proposed in this paper. The algorithm conducts clustering analysis in the time domain as the pre-segmentation step for later Bayesian judgment processing. Furthermore, temporal differential image was used to classify dynamical and static pixels, which were then used to direct the Bayesian judgment with proper models. The clustering processing reduced the number of the mixture models, which in turn, reduced the computational complexity while ensuring accurate moving object detection. Simulation results show that the proposed scheme well exploited the temporal correlation of the video sequences and the accuracy of the detected objects can be improved by nearly 20% compared to the typical Gaussian mixture modeling algorithm. © 2014 WIT Press.

关键词： Object detection

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A spectral radius based evaluation function for automatic focusing

A spectral radius based evaluation function for automatic fo...

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2019 IEEE International Conferences on Ubiquitous Computing and communications and Data Science and Computational Intelligence and Smart Computing, Networking and Services, IUCC/DSCI/SmartCNS 2019

作者： Peng, Guojin Lv, Meini Wang, Kuikui Guangxi Colleges and Universities Key Lab. of Image Processing and Intelligent Information System Wuzhou University WuZhou543002 China

ISBN: (纸本)9781728152097

Curves generated by traditional evaluating functions contain large amount of local extremums, easily leading to focal-plane misjudgments. We propose a new clarity evaluation method based on spectral radius. The spatial information is converted into frequency domain by Discrete Cosine Transformation, then a sector that contains more than 99 percent of the total spectrum energy is extracted, and the radius of this sector is employed to estimate the degree of clarity of current image. Since the scope of spectral radius is steady and limited to image size, it provides effective reference for selection of lower limit of spectral radius which is utilized to avoid local fluctuation and maintain the unimodality of evaluation curves. The experimental results demonstrate that the spectral radius based evaluation method forms curves with fewer local extremums and better robustness. © 2019 IEEE.

关键词： Frequency domain analysis

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Tissue P systems with cell separation: attacking the partition problem

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Science China(Information Sciences) 2011年第2期54卷 293-304页

作者： ZHANG XingYi1, WANG Shuo2, NIU YunYun2 & PAN LinQiang2 1key lab of Intelligent Computing and Signal processing of Ministry of Education, School of Computer Science and Technology, Anhui University, Hefei 230039, China 2image processing and Intelligent Control key laboratory of Education Ministry of China, Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China 1. Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China2. Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cell separation is introduced into tissue P systems, which enables systems to generate an exponential workspace in a polynomial time. In this work, the computational power of tissue P systems with cell separation is investigated. Specifically, a uniform family of tissue P systems with cell separation is constructed for effciently solving a well-known NP-complete problem, the partition problem.

关键词： membrane computing tissue P system cell separation partition problem

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Design of a wearable rehabilitation robotic hand actuated by pneumatic artificial muscles

Design of a wearable rehabilitation robotic hand actuated by...

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2009 7th Asian Control Conference, ASCC 2009

作者： Kexin, Xing Jian, Huang Qi, Xu Yongji, Wang Key Lab. of Image Processing and Intelligent Control Department of Control Science and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9788995605691

Intensive task-oriented repetitive physical therapies provided by individualized interaction between the patient and the rehabilitation specialist can improve the hand motor performance of the patient survived from stroke or traumatic brain injury. However, the therapy is time-consuming and expensive. Furthermore, it is difficult to evaluate the result of therapy quantitatively and objectively. The goal of this research is to develop a novel wearable device for robotic assistive hand repetitive therapy. We designed a pneumatic artificial muscle (PAM) driven rehabilitation robotic hand that is wearable and provides assistive forces required for grasping and release movements. The robot has two distinct degrees of freedom at the thumb and the fingers. The embedded sensors are employed to obtain the feedback position and force information for robot control and quantitative evaluation of task performance. To encourage the patients' self-regulation and improve the performance of the task, a PC based Virtual Reality game was developed. In order to realize a compliant and smooth motion, cubic spline functions are adopted in the trajectory planning of metacarpophalangeal joints. To realize the trajectory tracking control, a conventional PID controller was implemented and evaluated. Experiments were performed to confirm the effectiveness of the proposed device and methods. The robot has the potential of providing supplemental at-home therapy in addition to in the clinic treatment. ©2009 ACA.

关键词： Degrees of freedom (mechanics)

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Automatic segmentation of Cerebral Computerized Tomography based on Parameter-Limited Gaussian Mixture Model

Automatic segmentation of Cerebral Computerized Tomography b...

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2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

作者： Jiang, Shaofeng Chen, Wufan Feng, Qianjin Chen, Zhen Key Lab for Medical Image Processing South Medical University Guang zhou China Nanchang Institute of Aeronautical Technology Nanchang China

ISBN: (纸本)1424411203

This paper realizes a new method to segment intracranial structure from series of Cerebral Computerized Tomography (CT) automatically. Firstly, a region growing and morphology based approach is developed to extract intracranial structures from series cerebral computerized tomography with the knowledge of anatomy, and then focusing on the problems of parameter initialization of the expectation maximization (EM) algorithm, an improved EM algorithm based on Parameter-Limited Gaussian Mixture Model is presented to segment intracranial structures successfully. Experiment shows that this method is successful on all cerebral computerized tomography from bottom to top part of cerebra. © 2007 IEEE.

关键词： image segmentation

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Research on key technologies of overlay multiple access based on deep learning

Research on key technologies of overlay multiple access base...

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2021 International Conference on Computer, Communication, Control, Automation and Robotics, CCCAR 2021

作者： Huang, Ronglan Guangxi Colleges and Universities Key Lab. of Image Processing and Intelligent Information System Wuzhou University Guangxi Wuzhou543002 China

NOMA (Non-Orthogonal Multiple Access), as one of the candidate technologies of 5G, can improve the spectrum efficiency and system capacity, and has attracted wide attention. The essence of NOMA is multi-user overlay transmission in power domain, and multiple users will schedule on the same sub-band. The fundamental principle and key technologies of NOMA technology, such as power multiplexing superposition coding technology and SIC (Successful Interference Cancellation) technology, are described. The BER performance of NOMA communication system based on power domain in downlink is studied, and the appropriate power allocation ratio range is obtained. From the overall point of view of the system, users are grouped with the goal of maximizing the channel gain difference of all matched users, and then the problem of maximizing the weighted sum rate is transformed into the problem of minimizing the weighted sum mean square error by using the deep learning algorithm. By updating each optimization parameter iteratively in turn, it converges to the local optimum of the objective function. This method can improve the weighting and rate performance of the system with fewer iterations. © Published under licence by IOP Publishing Ltd.

关键词： Mean square error

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image retrieval based on character-matching technology

Image retrieval based on character-matching technology

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5th International Conference on Information Assurance and Security, IAS 2009

作者： Shan, Zhao Jing, Liu School of Computer Science and Technology Henan Polytechnic University Jiaozuo 454003 China Jiangsu Province Key Lab. on Image Processing and Image Communication Nanjing University of Posts and Communication Nanjing 210003 China

ISBN: (纸本)9780769537443

In order to introduce effective text-retrieval technologies into content-based image retrieval, a novel method based on string-matching technology was presented incorporating the different sensitivity along variant directions of human visual system. The image is firstly divided into non-overlapped blocks and sub-feature is extracted according to the human visual feature. Then, a novel descriptor is defined. Based on which, the sub-features is mapping into characters and the image into the text. Finally, the technology of the character string matching is adopted as the similarity measurement. Meantime, the situation information of character is considered, an adjusted method is proposed. Experimental results show that the proposed method has sound and robust retrieval performance. © 2009 IEEE.

关键词： Content based retrieval

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