42 research outputs found

    Social informatics

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    5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings</p

    25th annual computational neuroscience meeting: CNS-2016

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    The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong

    Toward Tighter Integration of Web Search with a Geographic Information System

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    Integration of Web search with geographic information has recently attracted much attention. There are a number of local Web search systems enabling users to find locationspecific Web content. In this paper, however, we point out that this integration is still at a superficial level. Most local Web search systems today only link local Web content to a map interface. They are extensions of a conventional stand-alone geographic information system (GIS), applied to a Web-based client-server architecture. In this paper, we discuss the directions available for tighter integration of Web search with a GIS, in terms of extraction, knowledge discovery, and presentation. We also describe implementations to support our argument that the integration must go beyond the simple map-and-hyperlink architecture

    ニンチテキ チリ クウカン ノ チュウシュツ ノ タメノ ウェブ マイニング ニ カンスル ケンキュウ

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    京都大学0048新制・課程博士博士(情報学)甲第11725号情博第154号新制||情||34(附属図書館)23368UT51-2005-D474京都大学大学院情報学研究科社会情報学専攻(主査)教授 田中 克己, 教授 石田 亨, 教授 西田 豊明学位規則第4条第1項該当Doctor of InformaticsKyoto UniversityDA

    Dictionary learning by Normalized Bilateral Projection

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    Information Bottleneck Analysis by a Conditional Mutual Information Bound

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    Task-nuisance decomposition describes why the information bottleneck loss I(z;x)−βI(z;y) is a suitable objective for supervised learning. The true category y is predicted for input x using latent variables z. When n is a nuisance independent from y, I(z;n) can be decreased by reducing I(z;x) since the latter upper bounds the former. We extend this framework by demonstrating that conditional mutual information I(z;x|y) provides an alternative upper bound for I(z;n). This bound is applicable even if z is not a sufficient representation of x, that is, I(z;y)≠I(x;y). We used mutual information neural estimation (MINE) to estimate I(z;x|y). Experiments demonstrated that I(z;x|y) is smaller than I(z;x) for layers closer to the input, matching the claim that the former is a tighter bound than the latter. Because of this difference, the information plane differs when I(z;x|y) is used instead of I(z;x)

    Web and Wireless Geographical Information Systems11th International Symposium, W2GIS 2012, Naples, Italy, April 12-13, 2012. Proceedings.

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    This volume contains the papers selected for presentation at the 11th edition of the International Symposium on Web and Wireless Geographical Information Systems (W2GIS 2012), hosted by the University of Naples “Federico II” in the dazzling city of Naples, Italy, in April 2012. W2GIS is a series of events alternating between Europe and East Asia. It aims at providing a forum for discussing advances in theoretical, technical, and practical issues in the field of wireless and Internet technologies suited for the spreading, usage, and processing of geo-referenced data. W2GIS now represents a prestigious event within the research community that continues to develop and expand. For the 2012 edition, we received 32 submissions from 12 countries in 4 continents. Each paper received three reviews and based on these reviews, 13 full papers and 4 short papers were selected for presentation at the symposium and inclusion in Springer LNCS Volume 7236. The accepted papers are all of excellent quality and cover topics that range from mobile GIS and location-based services to spatial information retrieval and wireless sensor networks. We had the privilege of having a distinguished invited talk by Christopher B. Jones from the School of Computer Science at Cardiff University (UK). The best paper of the symposium was selected by the Steering Committee and invited to submit an extended version for publication in the Journal of Spatial Information Science. We wish to thank all authors that contributed to this symposium for the high quality of their papers and presentations. Our sincere thanks go to Springer’s LNCS team. We would also like to acknowledge and thank the Program Committee members for the quality and timeliness of their reviews. Finally, many thanks to Christophe Claramunt, Michela Bertolotto, and the entire Steering Committee members for providing continuous support and advice

    スパース符号化を用いた大規模画像特徴量データベースの構築

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    科学研究費助成事業 研究成果報告書:若手研究(B)2013-2016課題番号 : 2573007
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