Author

Hiroharu Suzuki

Juntendo UniversityORCID 0000-0002-9244-8472Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 4 Organism:human· 3 Research Focus:benchmarking· 2 Research Focus:drug response / drug discovery· 2 Approach:contrastive learning· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Yasushi IimuraiD· 4 shared Hidenori SuganoiD· 3 shared Takumi MitsuhashiiD· 3 shared Haruhiko KishimaiD· 2 shared Hui Ming KhooiD· 2 shared Koichi ShinodaiD· 2 shared Naoki TaniiD· 2 shared Ryohei FukumaiD· 2 shared

Activity by Year

2024-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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4 shared papersNeuroscience

Yasushi IimuraORCID

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4 papers

Recent·Most cited

Ripples precede insight in the right human hippocampus

Kotaro Yamashiro, Takamitsu Iwata, Yuji Ikegaya, Yasushi Iimura, Takumi Mitsuhashi, Hiroharu Suzuki, Katsuyuki Negishi, Takuya Suematsu, Ryosuke Yamamoto, Ryohei Fukuma, Naoki Tani, Hui Ming Khoo, Satoru Oshino, Haruhiko Kishima, Takufumi Yanagisawa

This study shows that right hippocampal ripples increase before insight occurs in humans, suggesting a role in non-conscious processing leading to conscious awareness.

bioRxiv · Feb 5, 2026 · PreprintNeuroscience

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

Image retrieval based on closed-loop visual-semantic neural decoding

Ryohei Fukuma, Takufumi Yanagisawa, Hidenori Sugano, Kentaro Tamura, Satoru Oshino, Naoki Tani, Yasushi Iimura, Hui Ming Khoo, Hiroharu Suzuki, Huixiang Yang, Takamitsu Iwata, Madoka Nakajima, Shinji Nishimoto, Yukiyasu Kamitani, Haruhiko Kishima

This paper demonstrates that closed-loop brain-computer interfaces can retrieve intended images using a CLIP latent space, achieving over 80% accuracy, while failing with AlexNet.

bioRxiv · Aug 5, 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