A brain-computer interface system configured to decode a neural signal to control a target device, comprising: a sensor for sampling the neural signal; and a computer readable storage medium having software instructions, when executed by the processor, causing the processor to transform the neural signal into a common representation space stored in the system, providing the common representation space as a state representation to notify the Actor recurrent neural network policy of the system, a prediction sequence of control signals is generated and evaluated using a deep recurrent neural network of a system having a generative sequence decoder, the control signals are provided to a target device to achieve an output of the target device, an intrinsic biometric-based reward signal is determined from a common representation space based on a desire of the output of the target device, and providing the reward signal based on the intrinsic biological characteristics to a Critic model of the system.
SYSTEM AND METHOD FOR CONTINUOUS DECODING OF BRAIN STATUS INTO MULTI-DEGREE OF FREE CONTROL SIGNAL