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.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode