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bioRxiv · 10.1101/166306

Optimal decision making using grid cells under spatial uncertainty

Navarro Schroeder, T.·Towse, B. W.·Burgess, N.·Barry, C.·Doeller, C. F.
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Abstract

Minimizing spatial uncertainty is essential for navigation, but the neural mechanisms remain elusive. Here we combine predictions of a simulated grid cell system with behavioural and fMRI measures in humans during virtual navigation. First, we showed that polarising cues produce anisotropy in motion parallax. Secondly, we simulated entorhinal grid cells in an environment with anisotropic information and found that self-location is decoded best when grid-patterns are aligned with the axis of greatest information. Thirdly, when exposing human participants to polarised virtual reality environments, we found that navigation performance is anisotropic, in line with the use of parallax. Eye movements showed that participants preferentially viewed polarising cues, which correlated with navigation performance. Finally, using fMRI we found that the orientation of grid-cell-like representations in entorhinal cortex anchored to the environmental axis of greatest parallax information, orthogonal to the polarisation axis. In sum, we demonstrate a crucial role of the entorhinal grid system in reducing uncertainty in representations of self-location and find evidence for adaptive spatial computations underlying entorhinal representations in service of optimal navigation.

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Navarro Schroeder, T., Towse, B. W., Burgess, N., Barry, C., Doeller, C. F.. 2017-07-20. Optimal decision making using grid cells under spatial uncertainty. https://doi.org/10.1101/166306

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