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.· arXiv.org· 0 citations
It is suggested that tES may enhance attentional functions and the left vDLPFC may be a potential target for future tES studies aiming to improve attention.
Toru Takahashi, Ikko Kimura, S. Vafaei et al.· Biological Psychology· 0 citations
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.