Hattori and Komiyama unravel the persistent neural encoding of value in the mouse retrosplenial cortex using a demixed dimensionality reduction algorithm, revealing a cylindrical structure that supports untangled encoding of value in both the brain and RNNs.
In this issue of Neuron, Hattori and Komiyama, 2021 unravel persistent neural encoding of value in mouse retrosplenial cortex, using a demixed dimensionality reduction algorithm. The cylindrical structure they uncover supports untangled encoding of value in both brains and RNNs.
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