Leveraging Multi-Modal Multi-Layer Functional Networks for Next Generation BMIs
Abstract
The objective of the proposed research is to develop a new framework for characterizing the dynamic behavior of complex systems across time and across multiple functional elements. As an example of complex systems, the investigators will center their efforts on the human brain. By leveraging the proposed framework, their aim is to push the limits of existing non-invasive Brain-Machine Interfaces (BMIs) in terms of degrees of freedom and detection time. To achieve this goal, they will advance the sensing platform by finding the optimum position for the placement of sensors of different modalities. They will identify segments in the time series obtained in the sensor space, that are associated with the functional state of the system in the source space. They will develop a series of network-based measures indicative of the temporal evolution of functionality of the system.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1610096
Entities
People
- Laleh Najafizadeh
Organizations
- Army Contracting Command
- Defense Advanced Research Projects Agency
- Rutgers University