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      Rat hippocampal CA1 region represents learning-related action and reward events with shorter latency than the lateral entorhinal cortex

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          Abstract

          The hippocampus and entorhinal cortex are deeply involved in learning and memory. However, little is known how ongoing events are processed in the hippocampal-entorhinal circuit. By recording from head-fixed rats during action-reward learning, here we show that the action and reward events are represented differently in the hippocampal CA1 region and lateral entorhinal cortex (LEC). Although diverse task-related activities developed after learning in both CA1 and LEC, phasic activities related to action and reward events differed in the timing of behavioral event representation. CA1 represented action and reward events almost instantaneously, whereas the superficial and deep layers of the LEC showed a delayed representation of the same events. Interestingly, we also found that ramping activity towards spontaneous action was correlated with waiting time in both regions and exceeded that in the motor cortex. Such functional activities observed in the entorhinal-hippocampal circuits may play a crucial role for animals in utilizing ongoing information to dynamically optimize their behaviors.

          Abstract

          Electrophysiological recordings in rats reveal that the hippocampal CA1 region represents learning-related action and reward events faster than the lateral entorhinal cortex.

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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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            Scikit-learn: Machine Learning in Python

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              Conjunctive representation of position, direction, and velocity in entorhinal cortex.

              Grid cells in the medial entorhinal cortex (MEC) are part of an environment-independent spatial coordinate system. To determine how information about location, direction, and distance is integrated in the grid-cell network, we recorded from each principal cell layer of MEC in rats that explored two-dimensional environments. Whereas layer II was predominated by grid cells, grid cells colocalized with head-direction cells and conjunctive grid x head-direction cells in the deeper layers. All cell types were modulated by running speed. The conjunction of positional, directional, and translational information in a single MEC cell type may enable grid coordinates to be updated during self-motion-based navigation.
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                Author and article information

                Contributors
                soma@koto.kpu-m.ac.jp
                isomura.phy2@tmd.ac.jp
                Journal
                Commun Biol
                Commun Biol
                Communications Biology
                Nature Publishing Group UK (London )
                2399-3642
                31 May 2023
                31 May 2023
                2023
                : 6
                : 584
                Affiliations
                [1 ]GRID grid.412905.b, ISNI 0000 0000 9745 9416, Brain Science Institute, , Tamagawa University, ; Tokyo, Japan
                [2 ]GRID grid.272458.e, ISNI 0000 0001 0667 4960, Department of Molecular Cell Physiology, , Kyoto Prefectural University of Medicine, ; Kyoto, Japan
                [3 ]GRID grid.69566.3a, ISNI 0000 0001 2248 6943, Laboratory of Systems Neuroscience, , Tohoku University Graduate School of Life Sciences, ; Sendai, Japan
                [4 ]GRID grid.419082.6, ISNI 0000 0004 1754 9200, PRESTO, Japan Science and Technology Agency (JST), ; Kawaguchi, Japan
                [5 ]GRID grid.265073.5, ISNI 0000 0001 1014 9130, Department of Physiology and Cell Biology, Graduate School of Medical and Dental Sciences, , Tokyo Medical and Dental University, ; Tokyo, Japan
                [6 ]GRID grid.258799.8, ISNI 0000 0004 0372 2033, Center for the Evolutionary Origins of Human Behavior, , Kyoto University, ; Aichi, Japan
                [7 ]GRID grid.21925.3d, ISNI 0000 0004 1936 9000, Department of Bioengineering, , University of Pittsburgh, ; Pittsburgh, PA USA
                [8 ]GRID grid.251993.5, ISNI 0000000121791997, Dominick P. Purpura Department of Neuroscience, , Albert Einstein College of Medicine, ; Bronx, NY USA
                [9 ]GRID grid.462719.f, ISNI 0000 0000 9562 7279, Department of Clinical Psychology, , Pacifica Graduate Institute, ; Carpinteria, CA USA
                Author information
                http://orcid.org/0000-0002-7381-9477
                http://orcid.org/0000-0002-5431-1723
                http://orcid.org/0000-0003-0393-3124
                Article
                4958
                10.1038/s42003-023-04958-0
                10232461
                37258700
                9335f5ab-d4ef-4fae-8b15-737bd46e1dde
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 December 2022
                : 20 May 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001691, MEXT | Japan Society for the Promotion of Science (JSPS);
                Award ID: JP20K15934
                Award ID: JP20H05069
                Award ID: JP22H03255
                Award ID: JP21H00178
                Award ID: JP19K06917
                Award ID: JP22H05497
                Award ID: JP16H01516
                Award ID: JP18H05524
                Award ID: JP20H05053
                Award ID: JP21H05242
                Award Recipient :
                Funded by: the Shimizu Foundation for Immunology and Neuroscience Grant for 2019 (S.S.)
                Funded by: FundRef https://doi.org/10.13039/501100009023, MEXT | JST | Precursory Research for Embryonic Science and Technology (PRESTO);
                Award ID: JPMJPR21S3
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001700, Ministry of Education, Culture, Sports, Science and Technology (MEXT);
                Award ID: S1311013
                Award ID: S1311013
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100009619, Japan Agency for Medical Research and Development (AMED);
                Award ID: JP19dm0207089
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100003382, MEXT | JST | Core Research for Evolutional Science and Technology (CREST);
                Award ID: JPMJCR1751
                Award Recipient :
                Funded by: by the Takeda Science Foundation (Y.I.)
                Categories
                Article
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                © Springer Nature Limited 2023

                cortex,hippocampus,neural circuits
                cortex, hippocampus, neural circuits

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