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Navigating Brain-Machine Interfaces
This chapter explores the intricate challenges and innovations surrounding brain-machine interfaces, focusing on the optimization of communication between the brain and external devices. It emphasizes the significance of increasing channel numbers to improve decoding performance and user control, while also addressing the complexities of neural decoding and the transformative potential of assistive technology. The discussion highlights the balance needed in machine learning applications for BCIs and the importance of data quality in enhancing user interactions.