Author

Jun Morimoto

Advanced Telecommunications Research Institute InternationalORCID 0000-0002-4115-1919Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Giuseppe LisiiD· 3 shared Mitsuo KawatoiD· 3 shared Hidehiko TakahashiiD· 2 shared Hiroshi ImamizuiD· 2 shared Kiyoto KasaiiD· 2 shared Naho IchikawaiD· 2 shared Nobumasa Kato· 2 shared Noriaki YahataiD· 2 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersNeuroscience

Giuseppe LisiORCID

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3 papers

Recent·Most cited

Leaders are made: Learning acquisition of consistent leader-follower relationships depends on implicit haptic interactions.

Asuka Takai, Qiushi Fu, Yuzuru Doibata, Giuseppe Lisi, Toshiki Tsuchiya, Keivan Mojtahedi, Toshinori Yoshioka, Mitsuo Kawato, Jun Morimoto, Marco Santello

This study shows that leader-follower roles in coordination emerge through implicit haptic interactions, not explicit communication.

bioRxiv · Dec 9, 2021 · PreprintNeuroscience

Overlapping but asymmetrical relationships between schizophrenia and autism revealed by brain connectivity

Yujiro Yoshihara, Giuseppe Lisi, Noriaki Yahata, Junya Fujino, Yukiko Matsumoto, Jun Miyata, Genichi Sugihara, Shin-ichi Urayama, Manabu Kubota, Masahiro Yamashita, Ryuichiro Hashimoto, Naho Ichikawa, W. Cahn, Neeltje E.M. van Haren, Susumu Mori, , Hidehiko Takahashi

The paper uses brain connectivity data to show overlapping but asymmetrical relationships between schizophrenia and autism.

Schizophrenia Bulletin · Feb 12, 2020Peer-reviewedNeuroscience

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, Giuseppe Lisi, Takashi Yamada, Naho Ichikawa, Masahiro Takamura, Yujiro Yoshihara, Akira Kunimatsu, Naohiro Okada, Hirotaka Yamagata, Koji Matsuo, Ryuichiro Hashimoto, Go Okada, Yuki Sakai, , Hiroshi Imamizu

The paper develops a harmonization method for resting-state fMRI data across sites by separating site differences into sampling and measurement biases, reducing measurement bias by 29% and improving signal-to-noise ratios by 40%.

PLoS Biology · Apr 18, 2019Peer-reviewedNeuroscience