Emotion recognition technology through analyzing the EEG signal is currently an essential
concept in Artificial Intelligence and holds great potential in emotional health care, human …

Since the original characterization of the ventral visual pathway, our knowledge of its
neuroanatomy, functional properties, and extrinsic targets has grown considerably. Here we …

Neuroscience study has revealed the discrepancy of emotion expression between the left
and right hemispheres of human brain. Inspired by this study, in this article, we propose a …

In this paper, we propose a novel Electroencephalograph (EEG) emotion recognition
method inspired by neuroscience with respect to the brain response to different emotions …

In this paper, we propose a novel neural network model, called bi-hemisphere domain
adversarial neural network (BiDANN) model, for electroencephalograph (EEG) emotion …

Insula function is considered critical for many motivated behaviors, with proposed functions
ranging from attention, behavioral control, emotional regulation, goal-directed and aversion …

It has been argued that emotion, pain and cognitive control are functionally segregated in
distinct subdivisions of the cingulate cortex. However, recent observations encourage a …

Anxiety disorders are a significant problem in the community, and recent neuroimaging
research has focused on determining the brain circuits that underlie them. Research on the …

Previous electroencephalogram (EEG) emotion recognition relies on single-task learning,
which may lead to overfitting and learned emotion features lacking generalization. In this …

The social mind is tailored to the problem of predicting the mental states and actions of other
people. However, social cognition researchers have only scratched the surface of the …