Brain Machine

Brain-machine interfaces (BMIs) aim to establish direct communication pathways between the brain and external devices, primarily focusing on restoring lost function or enhancing human capabilities. Current research emphasizes improving the accuracy and robustness of decoding brain signals using advanced machine learning techniques, such as large language models (LLMs) and graph neural networks, often incorporating adaptive control strategies to address the inherent limitations of brain signals. This field holds significant promise for revolutionizing healthcare, particularly in neurorehabilitation and assistive technologies, and is also driving innovation in human-computer interaction and augmented reality applications.