SYSTEMS AND METHODS FOR AUGMENTING AND/OR RESTORING BRAIN AND NERVOUS SYSTEM FUNCTION AND INDUCING NEW NEURAL CONNECTIONS USING SELF-LEARNING ARTIFICIAL NETWORKS
Systems and methods for restoring and/or augmenting neural function are disclosed herein. One such method includes receiving signals associated with a first region of the nervous system of the individual, and generating a stimulation pattern based on (a) the signals associated with the first region of the nervous system and (b) a first artificial network. The method can further include outputting the stimulation pattern to (a) a second region of the nervous system to induce a behavioral output from the individual and (b) a second artificial network configured to predict the behavioral output from the individual. The method can also include comparing the induced behavioral output to the predicted behavioral output to generate an error signal. Parameters of the first artificial network can be adjusted using the error signal and the second artificial network to optimize the stimulation patterns and other output signals to achieve restoration and/or augmentation goals.
