Method for Pre-Training and Stabilizing Ultrasonic Brain-Machine Surfaces

A system for training a brain machine interface (BMI), the system comprising:

• a training set generation system including a transducer coupled to a brain state data system to sense brain state data of a brain of a subject during performance of a task at a first time;
• a storage device storing the brain state data correlated with the performance of the task as a pre-training set of the brain state data correlated with the performance of the task by the subject;
• a decoder module of the brain machine interface system trained with the pre-training set of the recorded brain state data to decode movement intentions of the subject correlated with brain state;
• a scanner operable to sense brain state data of the brain of the subject;
• a BMI coupled to the scanner, the BMI operable to conduct a current session at a second time subsequent to the first time, the BMI including the decoder module accepting a brain state data input of the brain of the subject, decoding a brain state output from the brain state data input, and generating a control signal to perform the task based on the determined brain state output.

A non-transitory computer-readable medium having machine-readable instructions stored thereon, which when executed by a processor, cause the processor to:

• record brain state data of a brain of a subject correlated with the performance of a task at a first time;
• assemble a pre-training set of the brain state data correlated with the performance of the task by the subject;
• pre-train a decoder module of the brain machine interface system via the pre-training set of the recorded brain state data to decode intentions of the subject correlated with brain state;
• and
• conduct a current session at a second time subsequent to the first time, wherein the current session includes the decoder module accepting a brain state data input of the brain of the subject, decoding a brain state output from the brain state data input, and generating a control signal to perform the task based on the determined brain state output.