Decoding Neural Activity
Abstract
Decoding Neural Activity seeks to utilize measures of physiological state and neural intention to improve the performance of semi-autonomous and supervised machine learning systems. Through the integration of new techniques from computer science, mathematics, signal processing, and statistics, this effort will investigate new methods for combining physiological and environmental data to decode neural signals and communicate information to computational platforms. Research within this effort will include the generation of novel sensors as well as improved architecture, mathematics, and procedures underlying algorithms and analysis. Successful research in this thrust will inform the development of tools to improve the performance of interfaces and communication between humans and machines. Potential applications range from learning systems and human-machine collaboration to assisted human operations and advanced manned-unmanned system teaming.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2017
- Source ID
- ce86a1772e52b1775426117259345fd4