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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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Study on the application of virtual reality technology in the production of industrial products based on OpenGL

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5th International Conference on Mechanical and Electrical technology, ICMET 2013

作者： Wang, Fa Yu Wang, Jing Chao Lu, Baoan Ministry of Education Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

ISBN: (纸本)9783037858349

This paper mainly discusses the use of virtual reality technology to make the complex steel production environment into direct, simple virtual interface. The model of square steel and the model of cylindrical steel have been founded through object-oriented method and powerful 3D image edit function provided by OpenGL which is employed in this system. Simulation system framework and friendly man-machine interaction are founded using 3-tier application for interactive control. The establishment and maintenance of the steel template, the real-time processing of the temperature in the steel production. © (2013) Trans Tech Publications, Switzerland.

关键词： Human computer interaction

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Design of robot lawn mower based on computer vision

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2nd International Symposium on Manufacturing Systems Engineering, ISMSE 2013

作者： Wang, Fa Yu Gao, Zhen Li Yin, Hong Yu Ministry of Education Tianjin University of Technology Tianjin 300384 China Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin 300384 China

ISBN: (纸本)9783037858455

In this paper, we introduce a new research about mowing robot on obstacle avoidance and path tracking controlling theoretically and practically, and propose the mowing control method which based on computer vision. Lawn images collected by camera, through the extraction of programming dealing with lawn, obstacles and boundary characteristics to achieve edge separation. Through special processing algorithm to determine boundary arises and obstacles location, size and speed of the robot, with real-time capturing and processing. This paper gives the complete image recognition processing, and analyzes several methods of image filtering and edge detection, and proposes simple control algorithm for obstacle avoidance, and applies MATlab for obstacle avoidance simulation. The results show that: the method can correctly identify the obstacles and boundaries, through the output about location, size of the obstacles and boundary, border slope and speed of the robot to control robot mower. Most importantly, that computer vision applying in the mowing robot itself is an innovation. © (2013) Trans Tech Publications, Switzerland.

关键词： Computer vision

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Flexible navigation in smartphones and tablets using scalable storyboards 13

Flexible navigation in smartphones and tablets using scalabl...

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3rd ACM International Conference on Multimedia Retrieval, ICMR 2013

作者： Zheng, Shuai Herranz, Luis Jiang, Shuqiang Key Lab. of Intelligent Information Processing Chinese Academy of Sciences Beijing 100190 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China School of Software Engineering Beijing Jiaotong University Beijing 100044 China

ISBN: (纸本)9781450320337

In this demo paper we present a multiscale browsing interface for handheld devices, in which the user can interactively change the scale of the storyboard to easily adjust the amount of information desired. Conventional and hierarchical storyboards provide one or very few possible lengths. In contrast, scalable storyboards allow the number of images and the storyboard itself to be adapted to the device constraints (e.g. aspect ratio, resolution) and navigation state with much finer granularity. Several levels and modes, including segment of interest, are provided for more intuitive and convenient navigation. © 2013 Authors.

关键词： Aspect ratio

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Endmember extraction by exemplar finder

Endmember extraction by exemplar finder

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9th International Conference on Advanced Data Mining and Applications, ADMA 2013

作者： Guo, Yi Gao, Junbin Sun, Yanfeng CSIRO Division of Computational Informatics North Ryde NSW 1670 Australia School of Computing and Mathematics Charles Sturt University Bathurst NSW 2795 Australia Beijing Municipal Key Lab. of Multimedia and Intelligent Software Technology Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9783642539169

We propose a novel method called exemplar finder (EF) for spectral data endmember extraction problem, which is also known as blind unmixing in remote sensing community. Exemplar finder is based on data self reconstruction assuming that the bases (endmembers) generating the data exist in the given data set. The bases selection is fulfilled by minimising a l2/l1 norm on the reconstruction coefficients, which eliminates or suppresses irrelevant weights from non-exemplar samples. As a result, it is able to identify endmembers automatically. This algorithm can be further extended, for example, using different error structures and including rank operator. We test this method on semi-simulated hyperspectral data where ground truth is available. Exemplar finder successfully identifies endmembers, which is far better than some existing methods, especially when signal to noise ratio is high. © 2013 Springer-Verlag.

关键词： Signal to noise ratio

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Semi-supervised learning with local and global consistency by geodesic distance and sparse representation 1

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3rd Sino-Foreign-Interchange Workshop on intelligent Science and intelligent Data Engineering, IScIDE 2012

作者： Gui, Jie Zhao, Zhongqiu Hu, Rongxiang Jia, Wei Intelligent Computing Lab. Hefei Institute of Intelligent Machines Chinese Academy of Sciences Hefei Anhui 230031 China State Key Laboratory for Novel Software Technology Nanjing University China College of Computer Science and Information Engineering Hefei University of Technology China Institue of Energy Safety Chinese Academy of Sciences Hefei Anhui 230031 China

ISBN: (数字)9783642366697

ISBN: (纸本)9783642366680

In many practical data mining applications, such as web categorization, key gene selection, etc., generally, unlabeled training examples are readily available, but labeled ones are fairly expensive to obtain. Therefore, in recent years, semi-supervised learning algorithms such as graph-based methods have attracted much attention. However, most of these traditional methods adopted a Gaussian function to calculate the edge weights of the graph. In this paper, a novel weight for semi-supervised graph-based methods is proposed. The new method adds the label information from problem into the target function, and adopts the geodesic distance rather than Euclidean distance as the measure of the difference between two data points when conducting the calculation. In addition, we also add class prior knowledge from problem into semi-supervised learning algorithm. Here we address the problem of learning with local and global consistency (LGC). It was found that the effect of class prior knowledge was probably different between under high label rate and low label rate. Furthermore, we integrate sparse representation (SR) in LGC algorithm. Experiments on a UCI data set show that our proposed method outperforms the original algorithms. © Springer-Verlag 2013.

关键词： Learning algorithms

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A comprehensive QoS determination model for Infrastructure-as-a-Service clouds

A comprehensive QoS determination model for Infrastructure-a...

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2013 IEEE International Conference on Automation Science and Engineering, CASE 2013

作者： Xia, Yunni Zhou, Mengchu Luo, Xin Zhu, Qingsheng Software Theory and Technology Chongqing Key Lab Chongqing University Chongqing 400030 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States

ISBN: (纸本)9781479915156

Cloud computing is a recently developed new technology for complex systems with massive service sharing, which is different from the resource sharing of the grid computing systems. In a cloud environment, service requests from users go through numerous provider specific steps from the instant it is submitted to when the service is fully delivered. Quality modeling and analysis of clouds are not easy tasks because of the complexity of the provisioning mechanism and the dynamic cloud environment. This study proposes an analytical modelbased approach for quality evaluation of Infrastructure-as-a-Service cloud and consider expected request completion time, rejection probability, and system overhead rate as key QoS metrics. It also features with the modeling of different warming and cooling strategies of machines and the ability to identify the optimal balance between system overhead and performance. © 2013 IEEE.

关键词： Quality control

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Design of Robot Lawn Mower based on Computer Vision

Design of Robot Lawn Mower based on Computer Vision

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The 2013 2nd International Symposium on Manufacturing Systems Engineering(ISMSE 2013)

作者： Fayu Wang Zhenli Gao Hongyu Yin Key Laboratory of Computer Vision and System(TUT) Ministry of Education Tianjin University of Technology Tianjin Key Lab of Intelligent Computing & Novel Software Technology Tianjin University of Technology

In this paper, we introduce a new research about mowing robot on obstacle avoidance and path tracking controlling theoretically and practically, and propose the mowing control method which based on computer visionLawn images collected by camera, through the extraction of programming dealing with lawn, obstacles and boundary characteristics to achieve edge separationThrough special processing algorithm to determine boundary arises and obstacles location, size and speed of the robot, with real-time capturing and processingThis paper gives the complete image recognition processing, and analyzes several methods of image filtering and edge detection, and proposes simple control algorithm for obstacle avoidance, and applies MATlab for obstacle avoidance simulationThe results show that: the method can correctly identify the obstacles and boundaries, through the output about location, size of the obstacles and boundary, border slope and speed of the robot to control robot mowerMost importantly, that computer vision applying in the mowing robot itself is an innovation.

关键词： Lawn Mower Obstacle avoidance controlling Computer vision Image processing

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A GA-based approach for SQL-injection detection

A GA-based approach for SQL-injection detection

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2013 International Conference on Information Engineering (ICIE 2013)

作者： Jianmin Chen Lin Yang Honghao Zhang Yan Liu College of Computer Science Beijing University of Technology National Computer Virus Emergency Response Center Tianjin Key Lab of Intelligent Computing & Novel Software Technology Tianjin University of Technology

In order to deal with serious security threats of SQL injection to Web applications, this paper proposes a novel SQL-injection detection method based on genetic algorithm(GA). A unified description for characteristics of SQL-injection was issued by regular expression, and an optimized SQL-injection sequence motherboard was got through GA. We detected harmful levels of SQL-injection attacks using template matching and achieved optimized correction scheme of the algorithm by a large amount of data.

关键词： network security SQL-injection detection genetic algorithm

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