Lessons from reinforcement learning for biological representations of space
Neuroscientists postulate 3D representations in the brain in a variety of different coordinate frames (e.g. ‘head-centred’, ‘hand-centred’ and ‘world-based’). Recent advances in reinforcement learning demonstrate a quite different approach that may provide a more promising model for biological repre...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Elsevier
2020
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