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      Egocentric boundary vector tuning of the retrosplenial cortex

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          Abstract

          Retrosplenial cortex neurons encode the positions of environmental boundaries in coordinates relative to the animal itself.

          Abstract

          The retrosplenial cortex is reciprocally connected with multiple structures implicated in spatial cognition, and damage to the region itself produces numerous spatial impairments. Here, we sought to characterize spatial correlates of neurons within the region during free exploration in two-dimensional environments. We report that a large percentage of retrosplenial cortex neurons have spatial receptive fields that are active when environmental boundaries are positioned at a specific orientation and distance relative to the animal itself. We demonstrate that this vector-based location signal is encoded in egocentric coordinates, is localized to the dysgranular retrosplenial subregion, is independent of self-motion, and is context invariant. Further, we identify a subpopulation of neurons with this response property that are synchronized with the hippocampal theta oscillation. Accordingly, the current work identifies a robust egocentric spatial code in retrosplenial cortex that can facilitate spatial coordinate system transformations and support the anchoring, generation, and utilization of allocentric representations.

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          Most cited references57

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          Microstructure of a spatial map in the entorhinal cortex.

          The ability to find one's way depends on neural algorithms that integrate information about place, distance and direction, but the implementation of these operations in cortical microcircuits is poorly understood. Here we show that the dorsocaudal medial entorhinal cortex (dMEC) contains a directionally oriented, topographically organized neural map of the spatial environment. Its key unit is the 'grid cell', which is activated whenever the animal's position coincides with any vertex of a regular grid of equilateral triangles spanning the surface of the environment. Grids of neighbouring cells share a common orientation and spacing, but their vertex locations (their phases) differ. The spacing and size of individual fields increase from dorsal to ventral dMEC. The map is anchored to external landmarks, but persists in their absence, suggesting that grid cells may be part of a generalized, path-integration-based map of the spatial environment.
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            Place navigation impaired in rats with hippocampal lesions

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              The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat.

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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                February 2020
                21 February 2020
                : 6
                : 8
                : eaaz2322
                Affiliations
                [1 ]Center for Systems Neuroscience, Boston University, 610 Commonwealth Ave., Boston, MA 02215, USA.
                [2 ]Department of Psychological and Brain Sciences, Boston University, 64 Cummington Mall, Boston, MA 02215, USA.
                [3 ]Graduate Program for Neuroscience, Boston University, 610 Commonwealth Ave., Boston, MA 02215, USA.
                Author notes
                [* ]Corresponding author. Email: asalexan@ 123456gmail.com
                [†]

                Present address: Department of Psychology, Neuroscience Program, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USA.

                Author information
                http://orcid.org/0000-0002-1735-3449
                http://orcid.org/0000-0003-2747-0275
                http://orcid.org/0000-0001-7139-1916
                http://orcid.org/0000-0002-9925-6377
                Article
                aaz2322
                10.1126/sciadv.aaz2322
                7035004
                32128423
                98205e0d-3d28-4d61-8f47-b680a61990f2
                Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 22 August 2019
                : 27 November 2019
                Funding
                Funded by: doi http://dx.doi.org/10.13039/100000006, Office of Naval Research;
                Award ID: MURI N00014-16-1-2832
                Funded by: doi http://dx.doi.org/10.13039/100000006, Office of Naval Research;
                Award ID: MURI N00014-19-1-2571
                Funded by: doi http://dx.doi.org/10.13039/100000006, Office of Naval Research;
                Award ID: DURIP N0014-17-1-2304
                Funded by: doi http://dx.doi.org/10.13039/100000052, NIH Office of the Director;
                Award ID: NIMH R01 MH061492
                Funded by: doi http://dx.doi.org/10.13039/100000052, NIH Office of the Director;
                Award ID: NIMH R01 MH060013
                Funded by: doi http://dx.doi.org/10.13039/100000052, NIH Office of the Director;
                Award ID: NINDS F32 NS101836-01
                Funded by: doi http://dx.doi.org/10.13039/100000052, NIH Office of the Director;
                Award ID: NIMH R01 MH120073
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Neuroscience
                Custom metadata
                Monica Bilog

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