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System and method for continual decoding of brain states to multi-degree-of-freedom control signals in hands free devices
System and method for continual decoding of brain states to multi-degree-of-freedom control signals in hands free devices
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机译:用于在免提设备中对大脑状态不断解码脑状态的系统和方法
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摘要
A brain-machine interface system configured to decode neural signals to control a target device includes a sensor to sample the neural signals, and a computer-readable storage medium having software instructions, which, when executed by a processor, cause the processor to transform the neural signals into a common representational space stored in the system, provide the common representational space as a state representation to inform an Actor recurrent neural network policy of the system, generate and evaluate, utilizing a deep recurrent neural network of the system having a generative sequence decoder, predictive sequences of control signals, supply a control signal to the target device to achieve an output of the target device, determine an intrinsic biometric-based reward signal, from the common representational space, based on an expectation of the output of the target device, and supply the intrinsic biometric-based reward signal to a Critic model of the system.
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