1,721,185 research outputs found

    Okada, Masato

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    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    脳と情報の統計力学(第53回物性若手夏の学校(2008年度),講義ノート)

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    この論文は国立情報学研究所の電子図書館事業により電子化されました。講義統計力学は,気体の分子の運動のようなミクロ記述とボイルシャルルの法則のようなマクロ記述とをつなぐ学問です.統計力学を学ぶと,我々はミクロからマクロへつながる階層的な構造が自然界のいたるところに存在することを意識し,物理学の枠組みを超えて統計力学が活躍できるような気がしてきます.脳にある百億以上の神経細胞の活動から,我々の意識や感情が生じています.0と1のビットがある種のルールに従って並ぶと,そのビット系列は画像や音声などの意味ある情報になります.このように脳や情報にもミクロとマクロの階層性が存在します.これらを統計力学的に議論できるととても素敵だと思いませんか.実はその扉の鍵はスピングラス・レプリカ法に代表されるランダムスピン系の統計力学にありました.±1の二値状態を取るIsingスピンを脳の神経細胞の活動や情報のビットに対応させることで,統計力学は脳の神経回路モデルや情報・通信理論の難問を次々に解き明かしていきました.ランダムスピン系の一つであるHopfieldモデルを出発点として,脳と情報の統計力学をやさしく解説します.この講義を通じて,皆さんが知っている統計力学が,脳や情報という一見物理とは関係ないような分野で大活躍している姿を知ることができます

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    DS_10.1369_0022155419878181 – Supplemental material for Morphological Characteristics of Neuronal Death After Experimental Subarachnoid Hemorrhage in Mice Using Double Immunoenzymatic Technique

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    Supplemental material, DS_10.1369_0022155419878181 for Morphological Characteristics of Neuronal Death After Experimental Subarachnoid Hemorrhage in Mice Using Double Immunoenzymatic Technique by Fumi Nakano, Lei Liu, Fumihiro Kawakita, Hideki Kanamaru, Yoshinari Nakatsuka, Hirofumi Nishikawa, Takeshi Okada, Masato Shiba and Hidenori Suzuki in Journal of Histochemistry & Cytochemistry</p

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    脳の視覚野における緩和計算について(多体問題としての情報処理-統計力学と情報科学の接点-,研究会報告)

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    この論文は国立情報学研究所の電子図書館事業により電子化されました。アトラクタへの収束のダイナミクスを用いた情報処理は脳の情報処理メカニズムの有望な仮説の一つである.しかし残念ながら,この仮説を実証的に検証しようとする研究はそれほど多くない.我々はこれまで,計算論的な研究と心理学実験を用いて,運動知覚に関するアトラクタダイナミクスを用いた動的な情報処理の存在を議論してきた.ここではさらに連想記憶モデルの枠組の中で,物体認識に関係すると思われる生理学的な知見を説明するモデルを議論し,この知見もアトラクタダイナミクスの枠組の中で説明できるのことを述べる
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