- About
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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
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A Biologically Plausible Learning Rule for the Infomax on Recurrent Neural Networks. / 生物学的に想定しうるリカレント結合神経回路上の情報量最大化学習則Hayakawa, Takashi 23 March 2015 (has links)
京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第18874号 / 医博第3985号 / 新制||医||1008(附属図書館) / 31825 / 京都大学大学院医学研究科医学専攻 / (主査)教授 渡邉 大, 教授 山田 亮, 教授 福山 秀直 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM
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