Author

Keiichi Onoda

Otemon Gakuin UniversityORCID 0000-0002-3882-3446Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1

Frequent Co-Authors

Shuhei YamaguchiiD· 2 shared Andrew WestbrookiD· 1 shared Asako Mitsuto NagaseiD· 1 shared Hiroyuki AkamaiD· 1 shared Kenji MoritaiD· 1 shared Masahiro TakamuraiD· 1 shared Naoki OkamotoiD· 1 shared Rei AkaishiiD· 1 shared

Activity by Year

2022-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersNeuroscience

Shuhei YamaguchiORCID

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3 papers

Recent·Most cited

Collapse of local circuit integrated information {Phi} during NREM sleep

Keiichi Onoda

This study shows that integrated information {Phi} decreases in local neural circuits during NREM sleep compared to wakefulness and REM sleep, supporting Integrated Information Theory.

bioRxiv · Aug 6, 2026 · PreprintNeuroscience

Mental Effort Cost Learning is Retrospective

Asako Mitsuto Nagase, Rei Akaishi, Keiichi Onoda, Kenji Morita, Toshikazu Kawagoe, Tetsuya Yamamoto, Shuhei Yamaguchi, Ritsuko Hanajima, Andrew Westbrook

This study shows mental effort cost learning is retrospective, updating decisions based on prediction errors at effort completion, not during the task.

bioRxiv · Nov 26, 2022 · PreprintNeuroscience

Comparing Deep Learning Models for Age Prediction Based on the Resting State fMRI Dataset from the "Brain Dock" Service in Japan

Yutaka Minowa, Keiichi Onoda, Masahiro Takamura, Shuhei Yamaguchi, Naoki Okamoto, Hiroyuki Akama

This study compares deep learning models for age prediction using resting-state fMRI data from the Japanese Brain Dock service, finding robust correlations across methods and highlighting the impact of atlas selection.

bioRxiv · Aug 14, 2022 · PreprintNeuroscience