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. 2010 Aug 19;6(8):e1000894. doi: 10.1371/journal.pcbi.1000894

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Legenstein et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.

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Rewards (A) and escape latencies (B) in the variable-targets control experiment with a PCA based hierarchical network. The control network is not able to learn the task based on this state representation. Note the larger scaling factor for the time-axis in panel A.