TY - JOUR TI - A neural-level model of spatial memory and imagery N1 - This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ID - discovery10056563 UR - https://doi.org/10.7554/eLife.33752 Y1 - 2018/09/04/ JF - eLife VL - 7 SN - 2050-084X A1 - Bicanski, A A1 - Burgess, N KW - computational model KW - episodic memory KW - neuroscience KW - none KW - scene construction KW - spatial cognition KW - spatially selective cells KW - trace cells N2 - We present a model of how neural representations of egocentric spatial experiences in parietal cortex interface with viewpoint-independent representations in medial temporal areas, via retrosplenial cortex, to enable many key aspects of spatial cognition. This account shows how previously reported neural responses (place, head-direction and grid cells, allocentric boundary- and object-vector cells, gain-field neurons) can map onto higher cognitive function in a modular way, and predicts new cell types (egocentric and head-direction-modulated boundary- and object-vector cells). The model predicts how these neural populations should interact across multiple brain regions to support spatial memory, scene construction, novelty-detection, 'trace cells', and mental navigation. Simulated behavior and firing rate maps are compared to experimental data, for example showing how object-vector cells allow items to be remembered within a contextual representation based on environmental boundaries, and how grid cells could update the viewpoint in imagery during planning and short-cutting by driving sequential place cell activity. AV - public IS - e33752 ER -