Brain-computer interface with adaptations for high-speed, accurate, and intuitive user interactions

A non-transitory processor-readable medium storing code representing instructions to be executed by a processor, the instructions comprising code to cause the processor to:

• generate a control interface configured to be manipulated, by a user, to perform a set of actions;
• generate and present a stimulus, via the control interface and to the user, the stimulus including a set of control items associated with a set of actions;
• receive information from an eye-tracking device and information from a neural recording device, the eye-tracking device and the neural recording device configured to monitor behavior of the user;
• determine, based on at least one of the information from the eye-tracking device and the information from the neural recording device, a point of focus of the user;
• identify at least one control item from the set of control items associated with the point of focus of the user;
• and
• determine, based on the at least one control item, an action intended by the user.

A method, comprising:

• presenting, to a user, at a first time period, a stimulus via an control interface, the stimulus including control items associated with a set of actions;
• receiving, from an eye-tracking device and a neural recording device, a first set of inputs associated with behavior of the user at the first time period;
• generating a first ensemble set of data based on the first set of inputs and information associated with the stimulus presented at the first time period;
• receiving information associated with an action intended by the user at the first time period;
• training a statistical model to associate the first ensemble set of data with the action intended by the user at the first time period;
• presenting, to a user, at a second time period after the first time period, the stimulus via the control interface;
• receiving, from the eye-tracking device and the neural recording device, a second set of inputs associated with behavior of the user at the second time period;
• generating a second ensemble set of data based on the second set of and information associated with the stimulus presented at the second time period;
• and
• determining, using the statistical model and the second ensemble set of data, a predicted action intended by the user at the second time period.