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

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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A Novel Harmonic Control Approach of Distributed Generation Converters in a Weak Microgrid

A Novel Harmonic Control Approach of Distributed Generation ...

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Annual IEEE Applied Power Electronics Conference and Exposition

作者： Guangqian Ding Feng Gao Yi Tang Lei Zhang Song Zhang Key Lab of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Aalborg University State Grid of China Technology College

ISBN: (纸本)9781479923250

This paper proposes a novel approach to compensate the voltage at the point of common coupling (PCC) and the grid line current harmonics through a distributed generation (DG) interfacing converter in a weak microgrid. In the proposed approach, the PCC voltage is indirectly derived from the measured converter output voltage, DG line current and line impedance. A voltage closed-loop controller and a current closed-loop controller are designed to achieve both functions of DG real power generation and PCC harmonics compensation. Therefore, the traditional harmonic measurement devices installed at the PCC as well as the long distance communication between the PCC and the converter are fully eliminated. In order to avoid overcompensation, a harmonic current limitation algorithm is implemented in the control loop. bBy properly dispatching the harmonic compensation capability, multiple DG unites can be connected to the same PCC in parallel with the same compensation function. Furthermore, the proposed control approach can be extended to a multi-bus microgrid, where the line impedance cannot be ignored. Matlab.simulations and experimental results are presented to show the effectiveness of the proposed approach.

关键词： Harmonic analysis Power harmonic filters Voltage control Microgrids Voltage measurement Impedance

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Time-stealer: A stealthy threat for virtualization scheduler and its countermeasures

Time-stealer: A stealthy threat for virtualization scheduler...

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15th International Conference on Information and Communications Security, ICICS 2013

作者： Rong, Hong Xian, Ming Wang, Huimei Shi, Jiangyong State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China

ISBN: (纸本)9783319027258

Third-party Cloud Computing, Amazon's Elastic Compute Cloud (EC2) for instance, provides Infrastructure as a Service (IaaS) solutions that pack multiple customer virtual machines (VMs) onto the same physical server with hardware virtualization technology. Xen is widely used in virtualization which charges VMs by wall clock time rather than resources consumed. Under this model, manipulation of the scheduler vulnerability may allow theft-of-service at the expense of other customers. Recent research has shown that attacker's VM can consume more CPU time than fair share on Amazon EC2 in that Xen 3.x default Credit Scheduler's resolution was rather coarse. Although considerable changes have been made in Xen 4.x Credit Scheduler to improve the performance in case of such stealing attacks, we've found another alternative attack called Time-Stealer which can obtain up to 96.6% CPU cycles stealthily under some circumstances on XenServer6.0.2 platform by analyzing the source code thoroughly. Detection methods using benchmarks as well as a series of countermeasures are proposed and experimental results have demonstrated the effectiveness of these defense techniques. © Springer International Publishing 2013.

关键词： Virtualization

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Tumor gene expressive data classification based on locally linear representation Fisher criterion

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9th International Conference on intelligent Computing, ICIC 2013

作者： Li, Bo Tian, Bei-Bei Liu, Jin School of Computer Science and Technology Wuhan University of Science and Technology 430081 Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China State Key Lab. of Software Engineering Wuhan China

ISBN: (纸本)9783642394812

In this paper, a discriminant manifold learning method based on Locally Linear Embedding (LLE), which is named Locally Linear Representation Fisher Criterion (LLRFC), is proposed for the classification of tumor gene expressive data. In the proposed LLRFC, an inter-class graph and intra-class graph is constructed based on the class information of tumor gene expressive data, where the weights between nodes in both graph are optimized using locally linear representation trick. Moreover, a Fisher criterion is modeled to maximize the inter-class scatter and minimize the intra-class scatter simultaneously. Experiments on some benchmark tumor gene expressive data validate its efficiency. © 2013 Springer-Verlag.

关键词： Genes

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A secure and efficient scheme for cloud storage against eavesdropper

A secure and efficient scheme for cloud storage against eave...

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15th International Conference on Information and Communications Security, ICICS 2013

作者： Liu, Jian Wang, Huimei Xian, Ming Huang, Kun State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9783319027258

Cloud storage system, which can be viewed as a large collection of individually unreliable storage nodes, is potential to be faced with the threat of data loss and leakage, due to node failure and eavesdropped by an intruder. As a solution, secret sharing scheme stores the data redundantly across the distributed storage system(DSS) and it is able to protect data security against -eavesdropper without need of secret key management mechanism, however, it do not provide regeneration property. Combining the regenerating code with the secret sharing scheme is an effective approach to address this drawback, yet all the schemes that have been proposed in previous work are conducted under the perfect-security criterion and leads to an unaffordable loss of the storage capacity while the number of observed nodes get close to threshold k. In this paper we adopt the weak-security criterion and give a formal description of "Secure DSS against an -eavesdropper". Applying a secure hash function and concatenated with the Product-Matrix minimum bandwidth regenerating(PM-MBR) code, our scheme significantly improves the secrecy capacity and keeps the loss of data rate constantly in a low level with any . As the analysis result indicates, our scheme, which provides sufficient security, repair efficiency and storage efficiency, is more suitable for practical systems. Moreover, we introduce another approach as an extension, which combines the All-Or-Nothing Transform with PM-MBR, and finally achieves a secure storage against -eavesdropper without loss of data rate. © Springer International Publishing 2013.

关键词： Hash functions

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Enhancement of stepped-frequency SAR imaging based on compressive sensing

Enhancement of stepped-frequency SAR imaging based on compre...

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2013 10th European Radar Conference, EuRAD 2013 - Held as Part of 16th European Microwave Week, EuMW 2013

作者： Pang, Bo Dai, Dahai Xing, Shiqi Li, Yongzhen Wang, Xuesong Dong, Jian State Key Lab. of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9782874870330

In this paper, a novel CS imaging framework is proposed for the purpose of improving the imaging performance of stepped frequency synthetic aperture radar (SAR). Meanwhile, a super-resolving imaging algorithm is proposed based on the nonquadratic optimization technique. Simulated and rail SAR measured data are applied to demonstrate the efficiency of the novel framework with proposed super-resolving algorithm. Experimental results validate the superiority of this method over previous approaches in terms of robustness in low SNR, better super-resolving ability and improved imaging performance in complex scene. © 2013 EMA.

关键词： Synthetic aperture radar

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Protein interaction hot spots prediction using LS-SVM within the Bayesian interpretation

Protein interaction hot spots prediction using LS-SVM within...

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

作者： Qi, Juhong Zhang, Xiaolong Li, Bo School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Hubei Key Lab. of Intelligent Information Processing and Real-time Industrial System Wuhan 430065 China

ISBN: (纸本)9783642539169

Hot spot prediction in protein interfaces is very important for understanding the essence of protein interactions and may provide promising prospect for drug design. Since experimental approaches such as alanine scanning mutagenesis are cost-expensive and time-consuming, reliable computational methods are needed. In this paper, a systematic method based on least squares support vector machine (LS-SVM) within the Bayesian evidence framework is proposed, where three levels Bayesian inferences are used to determine the model parameters and regularization hyper-parameters. Then a higher precision model for hot spots is constructed by optimizing these parameters. Compared with the previous methods, our model appears to be better performance. © 2013 Springer-Verlag.

关键词： Forecasting

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

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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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The sensitive characteristics analysis on adsorbent-doped carbon nanotube sensors for detecting H2S

The sensitive characteristics analysis on adsorbent-doped ca...

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2013 IEEE Conference on Electrical Insulation and Dielectric Phenomena, CEIDP 2013

作者： Chenchen, Luo Xiaoxing, Zhang Ju, Tang State Key Lab. of Pwr. Transmiss. Equip. and System Security and New Technology Chongqing University Chongqing 400044 China

ISBN: (纸本)9781479925964

Although Gas Insulated Switchgear (hereinafter referred to as GIS) equipment has the very high operation reliability, the internal inevitable defects of GIS could cause partial discharge (short for PD). SF6 gas decomposition occurs because of the energy which PD produced. The analysis of SF6 gas components in GIS is of great significance in the diagnosis and assessment of the operating status of GIS. As an important characteristic gas, the variation detection in the concentration of H2S is significant to judge the insulation level of SF6 gas. There are a number of gas sensors using carbon nanotubes. Unfortunately, their applications are greatly limited by their low intrinsic sensitivity. In this paper, we propose an adsorbent-doped carbon nanotubes gas sensor to make an improvement in detecting the concentration of H2S. The preparation and test method of the developed sensor was introduced. Meanwhile, the sensor response was conducted using the gas test device. We perform experiments and the results show that, compared to intrinsic carbon nanotubes gas sensor, the gas sensor featuring adsorbent-doped carbon nanotubes has a great deal higher sensitivity and responsiveness to H2S. In other words, the developed sensor has a capability of detecting the low concentration H2S. Therefore, it indicates that the doped sensor can improve the minimum detectable concentration of H2S and has great potential in H2S detection. Resistance change rate of H2S increased to 23.69% from 12.9%. Meanwhile, the sensor has good repeatability and stability. © 2013 IEEE.

关键词： Carbon nanotubes

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A reconfigurable routing method for fault-tolerant mesh-based network on chip

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Journal of Information and Computational Science 2013年第1期10卷 157-165页

作者： Liu, Yanhua Ruan, Ying Lai, Zongsheng Sun, Ling Institute of Microelectronics Circuit and System East China Normal University Shanghai 200241 China Jiangsu Provincial Key Lab. of ASIC Design Nantong University Nantong 226019 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China

As the semiconductor industry advances to nano-technology points, Network on Chip (NoC) components are becoming vulnerable to errors during the system operation. Consequently, fault-tolerant techniques for NoC are needed to achieve high reliability. In this paper, we present a fault-tolerant routing method to tolerate faulty routers in a two-dimension (2D) mesh-based NoC. With this method, the system can have a multi-router fault-tolerant capability and the routing path can be dynamically reconfigured to support different situations caused by faulty routers in NoC. Fault-tolerance capability and system performance of the proposed method are evaluated through analysis and simulations. Theoretical analysis and simulation results show that the proposed method can enhance the reliability of system and offer considerable fault-tolerance capability. © 2013 by Binary Information Press.

关键词： Network-on-chip

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