Category: 3D Spatial Representation

How does the 3D neural compass work in the mouse brain?

Angelaki, Dora E., Julia Ng, Amada M. Abrego, Henry X. Cham, J. D. Dickman, and Jean Laurens. “A gravity-based three-dimensional compass in the mouse brain.” bioRxiv (2019): 570382.

Summary
“Head direction cells in the mammalian limbic system are …

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How to implement 6DoF state estimation on 3D manifold based on neural dynamics?

State estimation in high dimensional space is a big challenge problem. Commonly, we use Lie group to implement 6DoF state estimation in 3D space. However, how does the brain implement path integration in 3D space based on neural dynamics?

Low …

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3D Grid Cell Visualisation Software

3D grid cell visualisation software was developed by Misun Kim at the Memory and Space Laboratory of Professor Eleanor Maguire, Wellcome Centre for Human Neuroimaging, University College London, London, UK.

This software has two main goals.

First, to visualize the …

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Anticipatory Neural Activity Improves the Decoding Accuracy for Dynamic Head-Direction Signals

Zirkelbach, Johannes, Martin Stemmler, and Andreas VM Herz. “Anticipatory neural activity improves the decoding accuracy for dynamic head-direction signals.” Journal of Neuroscience (2019): 2605-18.

Abstract
Insects and vertebrates harbor specific neurons that encode the animal’s head direction (HD) and provide …

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Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats

Finkelstein, Arseny, Nachum Ulanovsky, Misha Tsodyks, and Johnatan Aljadeff. “Optimal dynamic coding by mixed-dimensionality neurons in the head-direction system of bats.” Nature communications 9, no. 1 (2018): 3590.

Abstract：

Ethologically relevant stimuli are often multidimensional. In many brain …

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How grid cells generate unambiguous and high-capacity representations of variables in much higher-dimensional space?

Klukas, Mirko, Marcus Lewis, and Ila Fiete. “Flexible representation and memory of higher-dimensional cognitive variables with grid cells.” bioRxiv (2019): 578641.

The following content is from Klukas 2019.

Grid cell representations are simultaneously flexible and powerful yet rigid …

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How the brain implements recognition of familiar faces, objects, and scenes at the neural level?

Bicanski and Burgess 2019 propose that grid cells support visual recognition memory, by encoding translation vectors between salient stimulus features. They provide an explicit neural mechanism for the role of directed saccades in hypothesis-driven, constructive perception and recognition, and …

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