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BrainSLAM: SLAM on Neural Population Activity Data
This system uses a convolutional neural network (CNN) to decode velocity and familiarity information from wavelet scalograms of neural local field potential data recorded from rats as they navigate a 2D maze.
What deep reinforcement learning tells us about human motor learning and vice-versa
We therefore tested three major families of modern deep RL algorithm on a mirror reversal perturbation.
Learning offline: memory replay in biological and artificial reinforcement learning
Learning to act in an environment to maximise rewards is among the brain's key functions.
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