- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Schizophrenia research and treatment
- Cognitive Science and Education Research
- Gaze Tracking and Assistive Technology
- Blind Source Separation Techniques
- Tactile and Sensory Interactions
- Water Quality Monitoring Technologies
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Treatment of Major Depression
Shanghai University
2022-2025
Tongji University
2025
Otsuka (United States)
2024
Hebei University of Technology
2022
Wuchang University of Technology
2021
Ningbo Dahongying University
2018
New pharmacotherapy options are needed for posttraumatic stress disorder (PTSD). To investigate the efficacy, safety, and tolerability of brexpiprazole sertraline combination treatment (brexpiprazole + sertraline) compared with placebo PTSD. This was a parallel-design, double-blind, randomized clinical trial conducted from October 2019 to August 2023. The study had 1-week, run-in period followed by an 11-week, randomized, active-controlled, parallel-arm (with 21-day follow-up) took place at...
Electroencephalography (EEG) inverse problem is a typical problem, in which the electrical activity within brain reconstructed based on EEG data collected from scalp electrodes. In this paper, four-layer concentric head model used for simulation firstly, four deep neural network models including multilayer perceptron (MLP) and three convolutional networks (CNNs) are adopted to solve equal current dipole (ECD) model. simulations, 100,000 samples generated randomly, of 60% training 20%...
Problem consciousness is the starting point for exploration and reflection of unknown areas, it in-depth discovery known fields contradictions. On basis expounding connotation social science research problem consciousness, this paper analyzes necessity research, believes that cultivating awareness in should absorb experience, innovate knowledge structure, create an academic atmosphere benign development. To dilute authority dare to question three aspects.
Common methods to detect whether a person uses drugs require taking biological samples of the subject, which have time limitation due samples. To avoid this, this paper proposes CNN-based EEG classification method for drug use detection, does not subject and can trace longer history subject. In paper, convolutional neural network-based algorithm incorporating batch normalization after layer also introducing dropout operation in fully connected speed up training process is designed...
This paper shows a vision-based obstacle detection approach in an outdoor sidewalk environment. There is major problem of applying single camera navigation mission, that the differentiation various types barriers and clutter pavement. To settle this issue, property pavement margins are sub-sampled while barrier oversampled when original image mapped to virtual plane top view. Morphology filters applied strengthen as margin-blobs with greater size, sparse from screened. On basis recognized...