Author

R. O. Tachibana

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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Animal Behavior & Cognition· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:zebrafish· 1

Frequent Co-Authors

H. Koda· 1 shared K. Okanoya· 1 shared T. Morita· 1 shared

Activity by Year

2021-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

H. Koda

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1 paper

Recent·Most cited

Animal Behavior & CognitionPLOS Computational BiologyPeer-reviewedDec 28, 2021

Measuring context dependency in birdsong using artificial neural networks

T. Morita, H. Koda, K. Okanoya, R. O. Tachibana

This study uses artificial neural networks to measure context dependency in birdsong, finding that context dependency decreases with finer syllable classifications.

DOI 10.1371/journal.pcbi.1009707

zebrafishdeep learning

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