High accuracy selection of elements of groups using a brain machine interface (bmi)

A system comprising:

• a neural decoding system comprising a non-transitory memory storing instructions and a processor to execute the instructions to:
• receive at least one neural signal of a user from at least one neural recording device,
• identify that the at least one neural signal of the user is representative of the user at least thinking of attempting to perform a gesture, wherein the gesture is one of a plurality of known gestures mapped to a plurality of commands, and
• output a command of the plurality of commands based on the gesture,
• wherein the gesture is mapped to the command;
• and
• a controller in communication with the neural decoding system and a display configured to visualize a depiction of one or more groups of elements, wherein each of the one or more groups comprises one or more elements, wherein the controller comprises another non-transitory memory storing instructions, and another processor to execute the instructions to:
• receive the command associated with the gesture from the neural decoding system,
• if the gesture is a primary gesture, then the command associated with the primary gesture selects a group of the one or more groups of elements to be an active group of elements,
• if the gesture is a secondary gesture, then the command associated with the secondary gesture at least selects an element of the active group of elements, wherein the secondary gesture is different from the primary gesture, and
• output a response indicative of the active group of elements being activated and/or the element of the active group of elements being selected.