In this paper, we proposed a real-time subject-dependent EEG-based emotion recognition
algorithm and tested it on experiments' databases and the benchmark database DEAP. The …

Neurofeedback training (NFT) has shown to be promising and useful to rehabilitate cognitive
functions. Recently, brain–computer interfaces (BCIs) were used to restore brain plasticity by …

Decoding the intentions of other people based on non-linguistic cues such as their body
movement is a major requirement of many jobs. Whether it is maintaining security at an …

Physicians and scientists can use fractal analysis as a tool to objectively quantify complex
patterns found in neuroscience and neurology. Fractal analysis has the potential to allow …

Effective feature extraction and classification methods are of great importance for motor
imagery (MI)-based brain–computer interface (BCI) systems. The common spatial pattern …

The theory that ties normal functioning and pathology of the brain and visual system with the
spatial–temporal structure of the visual and other sensory stimuli is described for the first …

Music is a stimulus which may give rise to a wide range of emotional and cognitive
responses. Therefore, brain reactivity to music has become a focus of interest in cognitive …

Background Music conveys emotion by manipulating musical structures, particularly musical
mode-and tempo-impact. The neural correlates of musical mode and tempo perception …

Abstract Background Older adults with Mild Cognitive Impairment (MCI) are at high risk of
progressing to Alzheimer's disease (AD). Slowing down the effect of dementia by enhancing …

This study addresses application of Higuchi's fractal dimension (FD) as a measure to
evaluate the effect of external periodic stressor on electrical oscillations in the brain …