77 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN4 papers
- Fudan UniversityCN1 paper
- Nanjing University of Industry TechnologyCN1 paper
- Nanyang Technological UniversitySG1 paper
- National Taiwan UniversityTW1 paper
- National University of Defense TechnologyCN1 paper
- National University of UzbekistanUZ1 paper
- National Yang Ming Chiao Tung UniversityTW1 paper
- Shanghai Children's Medical CenterCN1 paper
- Shanghai Key Laboratory of Psychotic DisordersCN1 paper
- Shanghai UniversityCN1 paper
- Social Welfare DepartmentHK1 paper
5 papers
MLlm-DR: Towards Explainable Depression Recognition with MultiModal Large Language Models
Wei Zhang, Juan Chen, En Zhu +3
Automated depression diagnosis aims to analyze multimodal information from interview videos to predict participants' depression scores. Previous studies often lack clear explanatio…
Theta and/or alpha? Neural oscillational substrates for dynamic inter-brain synchrony during mother-child cooperation
Jiayang Xu, Yamin Li, Ruxin Su +9
Mother-child interaction is a highly dynamic process neurally characterized by inter-brain synchrony (IBS) at θ and/or α rhythms. However, their establishment, dynamic changes, and…
Return to Lacan: an approach to digital twin mind with free energy principle
Lingyu Li, Chunbo Li
Free energy principle (FEP) is a burgeoning theory in theoretical neuroscience that provides a universal law for modelling living systems of any scale. Expecting a digital twin min…
Spatio-Temporal Self-Attention Network for Video Saliency Prediction
Ziqiang Wang, Zhi Liu, Gongyang Li +4
3D convolutional neural networks have achieved promising results for video tasks in computer vision, including video saliency prediction that is explored in this paper. However, 3D…
The Increase of the Functional Entropy of the Human Brain with Age
Y. Yao, W. L. Lu, B. Xu +4
We use entropy to characterize intrinsic ageing properties of the human brain. Analysis of fMRI data from a large dataset of individuals, using resting state BOLD signals, demonstr…