This $300,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports research to develop brain-machine interfaces for speech decoding. The project aims to restore the ability to communicate through speech for individuals who have lost it due to conditions like ALS, stroke, or traumatic brain injury. The key objectives are to collect large amounts of intracranial electroencephalography (iEEG) data from at least two dozen participants, and leverage modern machine learning techniques like self-supervised learning, generative models, and transfer learning to improve the accuracy and generality of neural speech decoders. The project also includes an educational component to build an interdisciplinary workforce in neuroscience and machine learning. The award period runs from October 1, 2024 to September 30, 2029, and no sub-awards are planned.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $300.0k | 9/6/24 |