Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...

A specially created odor delivery device, along with machine learning-based analysis of scalp-recorded electroencephalogram, has enabled researchers at the University of Tokyo to see when and where ...

A new study by Apple researchers presents a method that lets an AI model learn one aspect of the structure of brain electrical activity without any annotated data. Here’s how. In a new study called ...

Researchers researchers bring noninvasive EEG-based BCI one step closer to everyday use by demonstrating real-time brain decoding of individual finger movement intentions and control of a dexterous ...

A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for sound target detection (STD), featuring a neuroanatomy-informed EEG ...

In a research paper, scientists from the Beijing Institute of Technology proposed an event-related potential (ERP) extraction method to solve the asynchronous problem of low-quality video target ...