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- W2796165991 abstract "Abstract Three dimensional (3D) spatial cells in the mammalian hippocampalformationare believed to support the existence of 3D cognitive maps. Modeling studies are crucial to comprehend the neural principles governing the formation of these maps, yet to date very few have addressed this topic in 3D space. Here, we present a hierarchical network model for the formation of 3D spatial cells using anti-hebbian network. Built on empirical data, the model accounts for the natural emergence of 3D place, border and grid-cells as well as a new type of previously undescribed spatial cell type which we call plane cells. It further explains the plausible reason behind the place and grid-cell anisotropic coding that has been observed in rodents and the potential discrepancy with the predicted periodic coding during 3D volumetric navigation. Lastly, it provides evidence for the importance of unsupervised learning rules in guiding the formation of higher dimensional cognitive maps." @default.
- W2796165991 created "2018-04-13" @default.
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- W2796165991 date "2018-02-13" @default.
- W2796165991 modified "2023-09-23" @default.
- W2796165991 title "A Hierarchical Anti-Hebbian Network Model for the Formation of Spatial Cells in Three-Dimensional Space" @default.
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- W2796165991 doi "https://doi.org/10.1101/264366" @default.
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