Abstract

When we remember a city that we have visited, we retrieve places related to finding our goal but also non-target locations within this environment. Yet, understanding how the human brain implements the neural computations underlying holistic retrieval remains unsolved, particularly for shared aspects of environments. Here, human participants learned and retrieved details from three partially overlapping environments while undergoing high-resolution functional magnetic resonance imaging (fMRI). Our findings show reinstatement of stores even when they are not related to a specific trial probe, providing evidence for holistic environmental retrieval. For stores shared between cities, we find evidence for pattern separation (representational orthogonalization) in hippocampal subfield CA2/3/DG and repulsion in CA1 (differentiation beyond orthogonalization). Additionally, our findings demonstrate that medial prefrontal cortex (mPFC) stores representations of the common spatial structure, termed schema, across environments. Together, our findings suggest how unique and common elements of multiple spatial environments are accessed computationally and neurally.

The authors examine how we differentiate highly similar places from each other. They provide evidence for complementary neural mechanisms in the human hippocampus and prefrontal cortex involved in processing interfering and common elements important to remembering places that we have visited.

Details

Title
Partially overlapping spatial environments trigger reinstatement in hippocampus and schema representations in prefrontal cortex
Author
Li, Zheng 1   VIAFID ORCID Logo  ; Gao Zhiyao 2   VIAFID ORCID Logo  ; McAvan Andrew S 1 ; Isham, Eve A 1 ; Ekstrom, Arne D 1   VIAFID ORCID Logo 

 University of Arizona, Department of Psychology, Tucson, USA (GRID:grid.134563.6) (ISNI:0000 0001 2168 186X); University of Arizona, Evelyn McKnight Brain Institute, Tucson, USA (GRID:grid.134563.6) (ISNI:0000 0001 2168 186X) 
 University of York, Department of Psychology, Heslington, UK (GRID:grid.5685.e) (ISNI:0000 0004 1936 9668) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2587482052
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.