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.

Abstract: A portable monitoring device for whole-body monitoring can include a receiver configured to receive wireless signals representing real-time neural activity from a neural sensor and to process the wireless signals into digital signals. The portable monitoring device can also include a first processor coupled to the receiver configured to receive the digital signals from the receiver and a programmable processor coupled to the first processor. The programmable processor can be configured to process the digital signals and generate a mapping of the neural activity into a person's behavior, a person's mood, a person's health condition, a person's memory, or a person's intentions.

Abstract: The subject invention is an ECL to CMOS converter for converting high or low ECL logic signals. The converter comprises a CMOS inverter for providing low or high CMOS logic signals at its output in response to a first or second signal, respectively, applied to its input. The first signal must exceed a first predetermined value and the second signal must fall below a second predetermined value. The first and second predetermined values are such that either the low ECL signal does not fall below the second predetermined value or the high ECL signal does not exceed the first predetermined value. The converter also provides means for converting the high and low logic signals to the first and second signals, respectively.