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Using RL to understand the Brain
I am trying to use reinforcement learning to understand how the brain works. My dataset is the neural activity pattern generated by a subject and the resulting behavior from that neural activity pattern. The relationship between neural activity and behavior is known to the experimenters. The subject is trying to modulate his neural activity to move a computer cursor and hit a target. Hitting the target is the goal for the subject and thus could be considered getting rewarded.