Author

Shuji Komeiji

Tokyo University of Agriculture and Technology

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· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Hidenori SuganoiD· 2 shared Hiroharu SuzukiiD· 2 shared Koichi ShinodaiD· 2 shared Takumi MitsuhashiiD· 2 shared Toshihisa TanakaiD· 2 shared Yasushi IimuraiD· 2 shared Kai Shigemi· 1 shared Kohei YatabeiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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2 shared papersNeuroscience

Hidenori SuganoORCID

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2 papers

Recent·Most cited

Speech Synthesis from Electrocorticography during Imagined Speech Using a Transformer-Based Decoder and a Pretrained Vocoder

Shuji Komeiji, Kai Shigemi, Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano, Koichi Shinoda, Kohei Yatabe, Toshihisa Tanaka

This paper synthesizes speech from imagined speech ECoG using a Transformer decoder and pre-trained vocoder, achieving high correlation with proxy targets.

bioRxiv · Aug 21, 2024 · PreprintNeuroscience

Feasibility of decoding covert speech in ECoG with aTransformer trained on overt speech

Shuji Komeiji, Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano, Koichi Shinoda, Toshihisa Tanaka

This study uses a Transformer model trained on overt speech to decode covert speech from ECoG data, achieving similar performance to models trained directly on covert speech.

Scientific Reports · May 20, 2024Peer-reviewedNeuroscience