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Author

Takufumi Yanagisawa

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Jul 2026

Visual Semantic Decoding of Electrocorticography from Video Stimuli using End-to-End Deep Learning

It is demonstrated that an end-to-end deep learning framework can yield promising decoding performance from dynamic visual stimuli without handcrafted features, while the model behavior remains interpretable through spectral, temporal, and cortical dimensions, which are broadly consistent with established neuroscience...

Stella Ho, Joel Villalobos, Joseph West et al. · 0 citations
Open access Jul 2026

Classification of neurodevelopmental disorders and typical development using deep learning and a portable patch-type electroencephalography device

Using a portable EEG device with a low participant burden and a deep learning model to distinguish between the typical development group (TD) and the NDD group, comprising children with ASD, ADHD, and ASD + ADHD is used.

Byambadorj Nyamradnaa, Maya Izumoto, Yoshiko Iwatani et al. · 0 citations

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