Columbia’s Zuckerman Institute Develops an AI-based Brain-Computer Interface (BCI) for People with Aphasia & Amyotrophic Lateral Sclerosis (ALS)
Shots:
- The BCI application focuses on human auditory cortex for the reconstruction of unspoken thoughts into speech for patients have who lost their ability to speak due to stroke, injury, and disease such as ALS
- The technology includes vocoder, a computer algorithm used for interpreting brain activity will that connects a direct pathway with brain utilizing the thoughts with AI-based software and is similar to Amazon Echo and Apple Siri for verbal responses
- The research was performed on epileptic patients by NIH (DC014279), with recorded brain signals by vocoder during speaking & listening and cleaned & analyzed by neural networks that mimic the structure of neurons in a brain
Click Here to read full press release/ article | Ref: Columbia University | Image: Virology