Author

Daisuke Takaichi

Nagoya University

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· 1

Signature Assays, Organisms & Methods

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Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

Akiko Yamazoe-Umemoto· 1 shared Akinori TakahashiiD· 1 shared Azusa KamikouchiiD· 1 shared Fumie HiramatsuiD· 1 shared Katsufumi SatoiD· 1 shared Kazuya OharaiD· 1 shared Ken YodaiD· 1 shared Kentaro ItoiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Akiko Yamazoe-Umemoto

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1 paper

Recent·Most cited

A hybrid versatile method for state estimation and feature extraction from the trajectory of animal behavior

Shuhei J. Yamazaki, Kazuya Ohara, Kentaro Ito, Nobuo Kokubun, Takuma Kitanishi, Daisuke Takaichi, Yasufumi Yamada, Yosuke Ikejiri, Fumie Hiramatsu, Kosuke Fujita, Yuki Tanimoto, Akiko Yamazoe-Umemoto, Koichi Hashimoto, Katsufumi Sato, Ken Yoda, , Koutarou D. Kimura

This paper introduces a hybrid machine learning method to estimate behavioral states and extract features from low-content animal trajectory data, validated across diverse species and environments.

Frontiers in Neuroscience · Jun 28, 2019Peer-reviewedNeuroscience