Predicting Speech-Related Brain Signals Using ECoG Sensors Implanted in Humans
I’m really excited about brain-machine interfaces. This is why for my Princeton undergraduate thesis I joined the Hasson Lab in the Princeton Neuroscience Institute to work on building deep learning models to predict speech-related brain signals.
I think brain-machine interfaces are going to change how we think about ourselves. They will provide insight into consciousness and allow us to better understand why we think and how. On top of that, they will also extend life by fixing some of the neurological diseases associated with old age. If you want to learn more, you should read Tim Urban’s fantastic article on Neuralink.
You can read my full thesis below. Download it from this link.
I also made a presentation for Princeton’s Virtual Research Days.