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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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Robust sliding mode control of general time-varying delay stochastic systems with structural uncertainties

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Control Theory and Technology 2014年第4期12卷 357-367页

作者： Sheng-Guo WANG Libin BAI Mingzhi CHEN Department of Engineering Technology and Department of Software and Information Systems (Graduate Faculty) University of North Carolina at Charlotte (UNC Charlotte) Department of Software and Information Systems UNC Charlotte NC 28223-0001 U.S.A. College of Mathematics and Computer Science Fuzhou University

This paper presents a new robust sliding mode control （SMC） method with well-developed theoretical proof for general uncertain time-varying delay stochastic systems with structural uncertainties and the Brownian noise （Wiener process）. The key features of the proposed method are to apply singular value decomposition （SVD） to all structural uncertainties and to introduce adjustable parameters for control design along with the SMC method. It leads to a less-conservative condition for robust stability and a new robust controller for the general uncertain stochastic systems via linear matrix inequality （LMI） forms. The system states are able to reach the SMC switching surface as guaranteed in probability 1. Furthermore, it is theoretically proved that the proposed method with the SVD and adjustable parameters is less conservatism than the method without the SVD. The paper is mainly to provide all strict theoretical proofs for the method and results.

关键词： Robust control Time-varying delay systems Stochastic systems Lyapunov methods Sliding mode control Time-varying systems

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A method of recommendation the most used XML tags

A method of recommendation the most used XML tags

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5th KKU International engineering Conference 2014, KKU-IENC 2014

作者： Vacharaskunee, Sutheetutt Intakosum, Sarun Software Systems Engineering Laboratory Department of Mathematics and Computer Science King Mongkut's Institute of Technology Ladkrabang Bangkok 10250 Thailand

ISBN: (纸本)9783038350903

Processing of a large data set which is known for today as big data processing is still a problem that has not yet a well-defined solution. The data can be both structured and unstructured. For the structured part, eXtensible Markup Language (XML) is a major tool that freely allows document owners to describe and organize their data using their markup tags. One major problem, however, behind this freedom lies in the big data retrieving process. The same or similar information that are described using the different tags or different structures may not be retrieved if the query statements contains different keywords to the one used in the markup tags. The best way to solve this problem is to specify a standard set of the markup tags for each problem domain. The creation of such a standard set if done manually requires a lot of hard work and is a time consuming process. In addition, it may be hard to define terms that are acceptable by all people. This research proposes a model for a new technique, "XML Tag Recommendation" (XTR) that aims to solve this problem. This technique applies the idea of Case Base Reasoning (CBR) by collecting the most used tags in each domain as a case. These tags come from the collection of related words in WordNet. The WordCount that is the web site to find the frequency of words is applied to choose the most used one. The input (problem) to the XTR system is an XML document contains the tags specified by the document owners. The solution is a set of the recommended tags, which is the most used tags, for the problem domain of the document. Document owners have a freedom to change or not change the tags in their documents and can provide feedback to the XTR system. © (2014) Trans Tech Publications, Switzerland.

关键词： XML

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Graduating students' designs - Through a phenomenographic lens 14

Graduating students' designs - Through a phenomenographic le...

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10th Annual International Conference on International Computing Education Research, ICER 2014

作者： Thomas, Lynda Eckerdal, Anna McCartney, Robert Moström, Jan Erik Sanders, Kate Zander, Carol Department of Computer Science Aberystwyth University Aberystwyth United Kingdom Department of Information Technology Uppsala University Uppsala Sweden Department of Computer Science and Engineering University of Connecticut Storrs CT United States Department of Computing Science Umeå University 901 87 Umeå Sweden Mathematics and Computer Science Department Rhode Island College Providence RI United States Computing and Software Systems University of Washington Bothell Bothell WA United States

ISBN: (纸本)9781450327558

We expand upon previous research that looked at the question: \Can graduating students design software systems?" Specifically we want to examine students' understanding of the phenomenon\produce a design." What does this instruction mean to them? In order to investigate student understandings, we examined their designs using a phenomenographic approach. Our outcome space includes six understandings: (0) the design a layman might produce;(1) a design with some formal notation;(2) a design that uses formal notations to express the static relationships among the parts;(3) a design that uses formal notation to express sequential (dynamic) information, but does not relate that to the static system parts;(4) a design that includes and relates multiple artifacts, both static and dynamic;and (5) a design that relaxes the notations and includes only essential artifacts. The last understanding was found only in our expert's design, and we do not expect it from undergraduates. Copyright © 2014 ACM.

关键词： Students

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Dimensionality Reduction Assisted Tensor Clustering

Dimensionality Reduction Assisted Tensor Clustering

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International Joint Conference on Neural Networks

作者： Yanfeng Sun Junbin Gao Xia Hong Yi Guo Chris J. Harris Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology Beijing University of Technology School of Computing and Mathematics Charles Sturt University School of Systems Engineering University of Reading CSIRO Mathematics Informatics and Statistics Electronics and Computer Science University of Southampton

ISBN: (纸本)9781479914821

This paper is concerned with tensor clustering with the assistance of dimensionality reduction approaches. A class of formulation for tensor clustering is introduced based on tensor Tucker decomposition models. In this formulation, an extra tensor mode is formed by a collection of tensors of the same dimensions and then used to assist a Tucker decomposition in order to achieve data dimensionality reduction. We design two types of clustering models for the tensors: PCA Tensor Clustering model and Non-negative Tensor Clustering model, by utilizing different regularizations. The tensor clustering can thus be solved by the optimization method based on the alternative coordinate scheme. Interestingly, our experiments show that the proposed models yield comparable or even better performance compared to most recent clustering algorithms based on matrix factorization.

关键词： Tensor Tucker Decomposition Tensor Clustering Matrix Factorization Tensor PCA

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Can First-year Students Program Yet? A Study Revisited

Can First-year Students Program Yet? A Study Revisited

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9th Annual International Computing Education Research Conference, ICER 2013

作者： McCartney, Robert Boustedt, Jonas Eckerdal, Anna Sanders, Kate Zander, Carol Department of Computer Science and Engineering University of Connecticut Storrs CT United States Faculty of Engineering and Sustainable Development University of Gávie Gávie Sweden Department of Information Technology Uppsala University Uppsala Sweden Mathematics and Computer Science Rhode Island College Providence Rl United States Computing and Software Systems University of Washington Bothell Bothell WA United States

ISBN: (纸本)9781450322430

The McCracken et al. working group paper is often cited for the proposition that students can't program. In that study, students from four different institutions were each assigned to implement one of three versions of a calculator. More than half of the students failed to produce a program that compiled and executed in the time assigned. Lost in this discussion, however, is the fact that the original paper had the goal of evaluating its instrument, as well as the students. We examine and adjust their instrument, and present the results of the revised study. With a modified instrument, we have obtained significantly improved results. Copyright © 2013 ACM.

关键词： Students

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An empirical approach for evaluating the usability of model-driven tools

An empirical approach for evaluating the usability of model-...

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作者： Condori-Fernández, Nelly Panach, Jose Ignacio Baars, Arthur Iwan Vos, Tanja Pastor, Óscar Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Information Systems Group P.O. Box 217 7500 AE Enschede Netherlands Escola Tècnica Superior d'Enginyeria Departament d'Informàtica Universitat de València Avenida de la Universidad s/n 46100 Burjassot Valencia Spain Centro de Investigación en Métodos de Producción de Software ProS. Universitat Politècnica de València Camino de Vera s/n 46022 Valencia Spain

MDD tools are very useful to draw conceptual models and to automate code generation. Even though this would bring many benefits, wide adoption of MDD tools is not yet a reality. Various research activities are being undertaken to find why and to provide the required solutions. However, insufficient research has been done on a key factor for the acceptance of MDD tools: usability. With the help of end-users, this paper presents a framework to evaluate the usability of MDD tools. The framework will be used as a basis for a family of experiments to get clear insights into the barriers to usability that prevent MDD tools from being widely adopted in industry. To illustrate the applicability of our framework, we instantiated it for performing a usability evaluation of a tool named INTEGRANOVA. Furthermore, we compared the outcome of the study with another usability evaluation technique based on ergonomic criteria. © 2012 Elsevier B.V. All rights reserved.

关键词： Usability engineering

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An efficient algorithm for mining complete share-frequent itemsets using BitTable and heuristics

An efficient algorithm for mining complete share-frequent it...

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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Nawapornanan, Chayanan Boonjing, Veera Software Systems Engineering Laboratory Department of Mathematics and Computer Science King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand National Centre of Excellence in Mathematics PERDO Bangkok 10400 Thailand

ISBN: (纸本)9781467314855

This paper proposes a new efficient algorithm for mining share-frequent itemsets from BitTable knowledge - extracted once from a transaction database. The knowledge contains sufficient information for such a mining task and provides efficient interactive access. The algorithm finds all share-frequent itemsets by level-wise generating complete promising candidates from a BitTable using heuristics and testing for desired solutions. Simulation results reveal that the proposed algorithm perform significantly better than ShFSM and DCG both runtime and a number of generated candidates. © 2012 IEEE.

关键词： Data mining

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Mobile cloud system: A solution for multimedia retrieval via mobile phones

Mobile cloud system: A solution for multimedia retrieval via...

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International Conference on computer sciences and Convergence Information Technology (ICCIT)

作者： Kaewkhwan Kaewmahingsa Pattarasinee Bhattarakosol Innovative Network and Software Engineering Technology (INSET) LaboratoryDepartment of Mathematics and Computer ScienceFaculty of Science Chulalongkorn University Bangkok Thailand

The multimedia file retrieval over the Internet has been counted as a popular service on the personal computer. However, the use of the Internet is shifting to the mobile devices especially smartphone. Various types of software have been proposed and sold via the operating system providers, such as iTunes of apple, Play Store of android, marketplace of Microsoft. As a result, the use of multimedia file via smartphone is becoming popular and tends to be general and widely used among users. Unfortunately, the loading system has a common problem which is a long delay during load. Due to the long delay time of the traditional client-server multimedia file retrieval service, the Mobile Cloud System (MCS) is proposed to solve the problem. Cloud computing architecture provides high efficiency of sharing the CPU and memories of different computing devices over the network. Therefore the MCS makes use of the vacant memory of a set of smartphones to shorten the downloading time. With the help of Cloud computing, users can receive multimedia file faster.

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A location-price-based buyer coalition

A location-price-based buyer coalition

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2012 IEEE 12th International Conference on computer and Information Technology, CIT 2012

作者： Narabin, Santit Boonjing, Veera Software Systems Engineering Laboratory Department of Computer Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand National Centre of Excellence in Mathematics PERDO Bangkok Thailand

ISBN: (纸本)9780769548586

A buyer coalition is a group of buyers who join together to negotiate with sellers to purchase items for a larger discount. In this article, a novel buyer coalition scheme, called the "GroupSimilarBuyer Scheme, " is introduced. The new idea focuses on buyer coalition formation based on similarity of buyers. The mechanism of approach begins to prepare data for driving the next step. Then, a k-mean clustering algorithm is used to form the coalition of buyers which are very similar in both reservation price and location of buyer. In addition, the utility of each buyer coalition is calculated. Based on the simulation result, the GroupSimilarBuyer showed that the average standard deviation of the coalition was nearly the optimum result. © 2012 IEEE.

关键词： Clustering algorithms

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