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 …

Directional hemispheric dominance has been established for numerous cognitive functions
in the human brain. Strong population biases with some functions favoring the left and …

Hemispheric asymmetry is a cardinal feature of human brain organization. Altered brain
asymmetry has also been linked to some cognitive and neuropsychiatric disorders. Here, the …

During speech perception, a central task of the auditory cortex is to analyze complex
acoustic patterns to allow detection of the words that encode a linguistic message [1]. It is …

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

Neuroscience research studies have shown that the left and right hemispheres of the human
brain response differently to the same or different emotions. Exploiting this difference in the …

The false positive rates (FPR) for surface-based group analysis of cortical thickness, surface
area, and volume were evaluated for parametric and non-parametric clusterwise correction …

Speech processing is highly incremental. It is widely accepted that human listeners
continuously use the linguistic context to anticipate upcoming concepts, words, and …

The spatial resolution of EEG/MEG source estimates, often described in terms of source
leakage in the context of the inverse problem, poses constraints on the inferences that can …

Drawing on a modern neurocognitive framework, this full-color textbook introduces the entire
field of cognition through an engaging narrative. Emphasizing the common neural …