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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, CCS 2018-06-10
10:45		 Kyoto Kyoto Terrsa Use of recurrent infomax to improve the information processing capability of input-driven recurrent neural networks
Hisashi Iwade (Kyoto Univ.), Kohei Nakajima (Univ. Tokyo/JST PRESTO), Takuma Tanaka (Shiga Univ.), Toshio Aoyagi (Kyoto Univ.) NLP2018-42 CCS2018-15		 Reservoir computing (RC) is known to be a novel information processing framework, which exploits the inherent transient ... [more] NLP2018-42 CCS2018-15
pp.79-84
NLC 2017-09-08
10:00		 Tokyo Seikei University An attempt to extract bill lists for collecting bills of local councils
Takuma Tanaka (TUT), Hiroki Sakaji (The Univ of Tokyo), Akio Kobayashi (AIP), Yasutomo Kimura (Otaru Univ of Commerce), Shigeru Masuyama (TUT) NLC2017-23		 Abstract In councils of local governments (local council for short), bills are submitted by its head, committees,and mem... [more] NLC2017-23
pp.41-46
MBE, NC
(Joint)		 2013-03-13
11:05		 Tokyo Tamagawa University Influence of Goal Settings and Verbal Feedbacks on Intrinsic Motivation
Yoichiro Iura, Takuma Tanaka, Kiyohiko Nakamura (Tokyo Inst. of Tech.) NC2012-140		 We investigated the effect of goal-settings and verbal feedbacks on intrinsic motivation. In this study, subjects were s... [more] NC2012-140
pp.37-42
MBE, NC
(Joint)		 2012-03-15
09:50		 Tokyo Tamagawa University Stochastic State Transitions in Recurrent Neural Networks with Sparse Asymmetric Connections
Koretaka Ogata, Takuma Tanaka, Kiyohiko Nakamura (Tokyo Tech) NC2011-149		 Recently many studies have reported that neurons form clustered structures in neocortical microcircuits more than expect... [more] NC2011-149
pp.165-169
NC, NLP 2009-07-13
11:30		 Nara NAIST Recurrent Infomax in neuronal network with various firing rate and reliability
Takuya Hori, Takuma Tanaka, Toshio Aoyagi (Kyoto Univ.) NLP2009-17 NC2009-10		  [more] NLP2009-17 NC2009-10
pp.19-24
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