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Columbia's Zuckerman Institute Develops an AI-based Brain-Computer Interface (BCI) for People with Aphasia & Amyotrophic Lateral Sclerosis (ALS)

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Columbia's Zuckerman Institute Develops an AI-based Brain-Computer Interface (BCI) for People with Aphasia & Amyotrophic Lateral Sclerosis (ALS)

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  • 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  Ref: Columbia University | Image: Virology


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