Cuntai Guan

TL;DR: In this article, a 3D convolutional neural network model with cascade and parallel convolution operations was proposed to detect attentive mental states in EEG data, which achieved better performance compared with the baseline methods under the intra-subject, inter-subject and subjectadaptive classification scenarios.

TL;DR: In this article, a deep feature approach based on pre-trained 2D CNN and naive 3D CNN models trained from scratch for schizophrenia classification by integrating 3D structural and diffusion magnetic resonance imaging (MRI) data was developed.

TL;DR: In this article, the advances in BCI and brain controlled robotics for rehabilitation and assistance of upper and lower limb motor functions over the last five years are reviewed, focusing on the emerging trends of BCI-controlled robotics to expand its intervention capabilities and resolve existing challenges hindering its widespread clinical use.

TL;DR: In this paper, the authors introduced a dose-target determination index (DTDI) to quantify the focality of tDCS and examined the dose-focality relationship in three different populations.

TL;DR: In this article, the authors introduced a dose-target determination index (DTDI) to quantify the focality of tDCS and examined the dose-focality relationship in three different populations.