Before revision:  We find that compared to slow learners, quick learners use a smaller ambient embedding to simultaneously encode higher dimensional patterns of neural responses to stimuli, providing a notion of effective codingmost associated with rapid learning. Furthermore, we identify which regions form the strongest neurophysiological drivers of these differences in learning rate, and complement our region-based approach with a voxel-level approach to uncover structure in finer-scale responses.
After revision:  We find that compared to slow learners, and hence more easily distinguishable whole-brain responses to objects of different value. Furthermore, we find that quick learners display a more compact embedding of the task-relevant information, where the ratio of task-relevant dimension to embedding dimension is consistent with a greater efficiency of cognitive coding. Lastly, we investigate the neurophysiological drivers of these differences in learning rate, and complement our region-based approach with a voxel-level approach to uncover structure in finer-scale responses.