Wavelet-Based Temporal-Spectral-Attention Correlation Coefficient for Motor Imagery EEG Classification

Brain-Computer Interface (BCI) technology has rapidly developed in recent years and is considered a cutting-edge technology that allows external devices to be controlled directly by the brain without the need for peripheral nerves and muscles. Particularly in the application of Motor Imagery Electroencephalography (MI-EEG), BCI technology has shown...

ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

ADFCNN: Attention-Based Dual-Scale Fusion Convolutional Neural Network for Motor Imagery Brain–Computer Interface

Brain-Computer Interface (BCI) has emerged as an enhanced communication and control technology in recent years. In BCI based on electrophysiological characteristics (such as Electroencephalogram, EEG), Motor Imagery (MI) is an important branch that decodes users’ motor intentions for use in clinical rehabilitation, intelligent wheelchair control, c...

Spatiotemporal Dynamics of Cortical Somatosensory Network in Typically Developing Children

Temporal and Spatial Dynamics of Somatosensory Cortex Network in Typically Developing Children Research Background Touch plays a crucial role in our interaction with external objects and the fine control of hand movements. Despite substantial research on the mechanisms of sensory information processing in human skin, it remains unclear how brain re...

Measuring Human Auditory Evoked Fields with a Flexible Multi-Channel OPM-Based MEG System

Measuring Human Auditory Evoked Fields with a Flexible Multi-Channel OPM-Based MEG System

Measurement of Human Auditory Evoked Fields Using a Flexible Multichannel Optically Pumped Magnetometer MEG System Xin Zhang and others, from the Suzhou Institute of Biomedical Engineering and Technology of the Chinese Academy of Sciences, University of Science and Technology of China, Jihua Laboratory in Foshan, Guangdong Province, and Guoke Medic...

Interaction Between the Gut Microbiota and Colonic Enteroendocrine Cells Regulates Host Metabolism

Interaction Between the Gut Microbiota and Colonic Enteroendocrine Cells Regulates Host Metabolism

Interaction Between Gut Microbiota and Colonic Enteroendocrine Cells Regulates Host Metabolism Research Background Obesity is a major health issue in the 21st century and a significant factor contributing to various adverse health consequences such as diabetes, fatty liver disease, and cardiovascular diseases. Therefore, exploring the biological me...