Deep Learning Approaches for Real-Time Neural Decoding in BCI Systems
Our latest research demonstrates a 23% improvement in classification accuracy using novel convolutional neural network architectures specifically designed for EEG signal processing. The paper presents comprehensive benchmarks across multiple BCI paradigms including motor imagery, P300, and SSVEP.