Author

Toshio Yanagida

Center for Information and Neural Networks

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1

Frequent Co-Authors

Aya NakaeiD· 1 shared Ben SeymouriD· 1 shared Gopal K. KotechaiD· 1 shared Hideki Kashioka· 1 shared Hiroaki HashimotoiD· 1 shared Hiroaki Mano· 1 shared Hitoshi MaezawaiD· 1 shared Izumi OhzawaiD· 1 shared

Activity by Year

2018-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperNeuroscience

Aya NakaeORCID

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3 papers

Recent·Most cited

The superior colliculus arbitrates whole-brain dynamics for unconscious visual insight

Tsutomu Murata, Komaki Kunishige, Shigeto Seno, Izumi Ohzawa, Kunihiko Kaneko, Toshio Yanagida, Masahiko Haruno, Kazufumi Hosoda

The paper identifies the superior colliculus as a key structure in whole-brain dynamics during sudden visual insight using fMRI data from an insight task.

bioRxiv · Apr 9, 2025 · PreprintNeuroscience

Functional cortical localization of the tongue using corticokinematic coherence with a deep learning-assisted motion capture system

Hitoshi Maezawa, Momoka Fujimoto, Yutaka Hata, Masao Matsuhashi, Hiroaki Hashimoto, Hideki Kashioka, Toshio Yanagida, Masayuki Hirata

This study evaluates functional localization of the tongue's primary sensorimotor cortex using deep learning-assisted motion capture, showing comparable results to accelerometers with reduced artifacts.

Scientific Reports · Jan 10, 2022Peer-reviewedNeuroscience

Classification and characterisation of brain network changes in chronic back pain: a multicenter study.

Hiroaki Mano, Gopal K. Kotecha, Kenji Leibnitz, Takashi Matsubara, Aya Nakae, Nicholas Shenker, Masahiko Shibata, Valerie Voon, Wako Yoshida, Michael Lee, Toshio Yanagida, Mitsuo Kawato, Maria João Rosa, Ben Seymour

This study uses machine learning and deep learning to classify chronic back pain patients based on brain network patterns, finding consistent changes in network topology and modular reorganisation.

Wellcome Open Research · Mar 1, 2018Peer-reviewedNeuroscience