System and method for training a subject to self-regulate neural variability
AssigneeCarnegie Mellon University
InventorsRYAN WILLIAMSON, AKASH UMAKANTHA, CHRIS KI, MATTHEW SMITH, BYRON YU
Life of this patent
Estimating the term…
Loading patent…
AssigneeCarnegie Mellon University
InventorsRYAN WILLIAMSON, AKASH UMAKANTHA, CHRIS KI, MATTHEW SMITH, BYRON YU
Estimating the term…
Disclosed herein is a system and method for training a subject to self-regulate neural variability. The system and method implements a prefrontal cortex brain-computer interface (BCI) and a method that allows subjects to use neurofeedback to produce a desired neural activity by regulation of their arousal levels to stabilize their neural activity across a timescale of seconds or minutes. The system comprises a prefrontal cortex brain-computer interface (BCI) to train subjects to use neurofeedback to produce desired neural activity. Subjects used the disclosed system and method, which includes BCI feedback, to self-regulate their arousal levels and successfully stabilize their neural activity.
A method comprising:
A system comprising:
Dependencies are inferred from the claim text.