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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-14
15:40		 Misc. Kikai-Shinko-Kaikan Bldg. Mouse EEG analysis based on nonlinear dynamics using permutation entropy
Kazuki Koyama (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2023-96 NLP2023-148		 Embedding is a frequently used method in nonlinear time series analysis for analyzing EEG. To determine the necessary pa... [more] MSS2023-96 NLP2023-148
pp.119-122
NLP, MSS 2023-03-15
16:15		 Nagasaki
(Primary: On-site, Secondary: Online)		 Correlation dimensions of EEG time series characterizing sleep stages in mice
Kazuki Koyama (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2022-77 NLP2022-122		 In this study, we estimate the embedding dimension, which is necessary for embedding EEG time series of mouse sleep into... [more] MSS2022-77 NLP2022-122
pp.75-80
MSS, NLP 2022-03-29
13:50		 Online Online Classification of power spectra of EEG by non-negative matrix factorization
Kazuki Koyama, Mariko Ito (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2021-76 NLP2021-147		 It has been common for experts to manually and subjectively classify sleep stages in the experiments for the sleep of mi... [more] MSS2021-76 NLP2021-147
pp.111-116
NLP, NC
(Joint)		 2019-01-24
15:40		 Hokkaido The Centennial Hall, Hokkaido Univ. Detection of mouse sleep-stages using hidden Markov model and random forest
Shun Matsuzaki (The University of Tokyo), Masanori Sakaguchi (University of Tsukuba), Takaaki Ohnishi (The University of Tokyo) NLP2018-123		 Fully automatic determination of the sleep stages (non-REM, REM, arousal) of the mouse is important in improving the mem... [more] NLP2018-123
pp.143-148
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