I am a master’s student at Keio University, Japan, advised by Prof. Komei Sugiura. I received my bachelor’s degree in Information and Computer Science from Keio University. My research interest lie in representation learning and foundation models for neural signals, with the goal of decoding the human language network and advancing brain–computer interfaces.
ICPR 2026
ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning
Daichi Yashima, Shuhei Kurita, Yusuke Oda, Shuntaro Suzuki, Seitaro Otsuki, Komei Sugiura
ICASSP 2026
Condition-Invariant fMRI Decoding of Speech Intelligibility with Deep State Space Model
Ching-Chih Sung*, Shuntaro Suzuki*, Francis Pingfan Chien*, Komei Sugiura, Yu Tsao (*Equal contribution)
Preprint 2025
Cortical-SSM: A Deep State Space Model for EEG and ECoG Motor Imagery Decoding
Shuntaro Suzuki, Shunya Nagashima, Masayuki Hirata, Komei Sugiura
Frontiers in Neuroergonomics 2024
Pretraining alpha rhythm enhancement by neurofeedback facilitates short-term perceptual learning and improves visual acuity by facilitated consolidation
Ming Chang, Shuntaro Suzuki, Takahiro Kurose, Takuya Ibaraki