The capacity to communicate effectively is a fundamental human need. But what happens when paralysis or other medical conditions interfere with the ability to speak? In this fascinating episode, Dr. Moses joins us to discuss his innovative work on technology that can decode words and sentences directly from brain activity, potentially revolutionizing communication for paralyzed individuals.

Dr. Moses and his team have successfully implanted a subdural, high-density, multielectrode array over the speech-controlling sensorimotor cortex area in a person suffering from anarthria (loss of speech articulation) and spastic quadriparesis due to a brain-stem stroke. Over 48 sessions, the team recorded the cortical activity while the participant attempted to say words from a selected vocabulary set, then used deep-learning algorithms to create computational models for word detection and classification.

In this episode, Dr. Moses shares this study's remarkable results: they decode sentences from the participant's brain activity in real-time, with a significant accuracy rate. This groundbreaking research brings hope to those who have lost the ability to communicate verbally due to medical conditions.

Listen as we delve into the world of brain-computer interfaces, deep learning, and the future of assisted communication with Dr. Moses.

Keywords: Dr. Moses, Brain-Computer Interfaces, Anarthria, Spastic Quadriparesis, Brain-Stem Stroke, Deep Learning, Speech Decoding, Cortical Activity, Paralysis, Communication, Natural-Language Model.

DOI: 10.1056/NEJMoa2027540