Abstract: Instances of a single brain computer interface (BCI) system can be implemented on multiple devices. An active instance can control the associated device. The instances can each communicate with a neural decoding system that can receive neural signals from a user, process the neural signals, and output a command based on the processed neural signals. A device running the active instance of can be in communication with the neural decoding system to receive a command. The device can include a display, a non-transitory memory storing instructions, and a processor to execute the instructions to: run an instance of a control program; and execute the task based on the command.

Abstract: Instances of a single brain computer interface (BCI) system can be implemented on multiple devices. An active instance can control the associated device. The instances can each communicate with a neural decoding system that can receive neural signals from a user, process the neural signals, and output a command based on the processed neural signals. A device running the active instance of can be in communication with the neural decoding system to receive a command. The device can include a display, a non-transitory memory storing instructions, and a processor to execute the instructions to: run an instance of a control program; and execute the task based on the command.

Abstract: Neural signals of a subject intending certain postures can be decoded and a controllable device can be commanded to perform certain actions based on the decoded intended postures with a system, and method of use thereof, including a brain machine interface (BMI) device. The system also includes electrodes in communication with the subject's nervous system to record the neural signals and the controllable device, both in communication with the BMI device. The BMI device can store instructions and previously calibrated neural activity patterns for the certain postures and a processor for receiving the neural signals, pre-processing the neural signals, decoding the neural signals into neural activity patterns, and matching the neural activity patterns to the previously calibrated neural activity patterns. If a match is determined, then the BMI device can send a command, previously linked to the intended posture, to the controllable device to perform the action.

Abstract: Instances of a single brain computer interface (BCI) system can be implemented on multiple devices. An active instance can control the associated device. The instances can each communicate with a neural decoding system that can receive neural signals from a user, process the neural signals, and output a command based on the processed neural signals. A device running the active instance of can be in communication with the neural decoding system to receive a command. The device can include a display, a non-transitory memory storing instructions, and a processor to execute the instructions to: run an instance of a control program; and execute the task based on the command.