专题：EEG and Brain-Computer Interfaces

This cluster of papers focuses on the development and application of Brain-Computer Interfaces (BCIs) in neuroscience and medicine. It covers topics such as EEG analysis, neuroprosthetics, BCI technology, motor imagery, epilepsy detection, cortical control, neural ensemble physiology, BCI communication, and deep learning for EEG decoding.
最新文献
Enhancing Unseen Driver State Detection: An EEG-Based Framework with Brain Connectivity and Depthwise Separable Convolutional Neural Networks

article Full Text OpenAlex

A Review of EEG ‐Based Driver Fatigue Detection: Nonlinear Dynamics, Brain Networks, and Deep Learning Advances

article Full Text OpenAlex

Entropy-informed deep residual network for nonlinear EEG dynamics in fine-grained driver state recognition

article Full Text OpenAlex

The Five Task Model: A Substrate-Free Framework for Life, Cognition, and Intelligent Systems

article Full Text OpenAlex

AI Detection of Edible Oil Adulteration Using Sensory Attributes: Review

article Full Text OpenAlex

A dual conductive network-constructed ionogel sensor for human facial expression and action recognition based on the BDAA/AgNWs composition

article Full Text OpenAlex

A Spatiotemporal Neural Network Framework for EEG-Based Emotion Recognition in Depression Assessment

article Full Text OpenAlex

Emotion recognition using multimodal physiological signals through regional to global fusion with a spatial-temporal semantic alignment mechanism

article Full Text OpenAlex

EEG foundation models: a critical review of current progress and future directions

article Full Text OpenAlex

Advances in EMG Signal Processing and Pattern Recognition: Techniques, Challenges, and Emerging Applications

article Full Text OpenAlex

近5年高被引文献