This paper provides a comprehensive overview of the state-of-the-art in brain–computer
interfaces (BCI). It begins by providing an introduction to BCIs, describing their main …

Neurofeedback, utilizing an electroencephalogram (EEG) and/or a functional near-infrared
spectroscopy (fNIRS) device, is a real-time measurement of brain activity directed toward …

Electroencephalogram (EEG) is a crucial and widely utilized technique in neuroscience
research. In this paper, we introduce a novel graph neural network called the spatial …

In the modern information society, people are constantly exposed to stress due to complex
work environments and various interpersonal relationships. Aromatherapy is attracting …

Artificial Intelligence (AI) has evolved rapidly since its inception in the 1950s, from simple
rule-based systems to today's advanced deep learning models. AI has impacted society in …

EEG-based emotion recognition is a task that uses scalp-EEG data to classify the emotion
states of humans. The study of EEG-based emotion recognition can contribute to a large …

This article describes a novel topical composition constituted by gamma-amino butyric acid
(GABA) and microbial chondroitin sulfate. This composition exhibits potential for non …

This project develops a framework for computational general intelligence that can be used to
build computational models, or world models, for machine intelligence and agent decision …

This project develops a framework for computational general intelligence that can be used to
build computational models, or world models, for machine intelligence and agent decision …

Background: Patients with epilepsy can report self-prediction of their seizures by observing
their affectivity. A pre-emptive therapy can be incorporated by objectively analyzing the …