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      Reconciling the object and spatial processing views of the perirhinal cortex through task‐relevant unitization

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          Abstract

          The perirhinal cortex is situated on the border between sensory association cortex and the hippocampal formation. It serves an important function as a transition area between the sensory neocortex and the medial temporal lobe. While the perirhinal cortex has traditionally been associated with object coding and the “what” pathway of the temporal lobe, current evidence suggests a broader function of the perirhinal cortex in solving feature ambiguity and processing complex stimuli. Besides fulfilling functions in object coding, recent neurophysiological findings in freely moving rodents indicate that the perirhinal cortex also contributes to spatial and contextual processing beyond individual sensory modalities. Here, we address how these two opposing views on perirhinal cortex—the object‐centered and spatial‐contextual processing hypotheses—may be reconciled. The perirhinal cortex is consistently recruited when different features can be merged perceptually or conceptually into a single entity. Features that are unitized in these entities include object information from multiple sensory domains, reward associations, semantic features and spatial/contextual associations. We propose that the same perirhinal network circuits can be flexibly deployed for multiple cognitive functions, such that the perirhinal cortex performs similar unitization operations on different types of information, depending on behavioral demands and ranging from the object‐related domain to spatial, contextual and semantic information.

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          Most cited references220

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          Neuropathological stageing of Alzheimer-related changes

          Eighty-three brains obtained at autopsy from nondemented and demented individuals were examined for extracellular amyloid deposits and intraneuronal neurofibrillary changes. The distribution pattern and packing density of amyloid deposits turned out to be of limited significance for differentiation of neuropathological stages. Neurofibrillary changes occurred in the form of neuritic plaques, neurofibrillary tangles and neuropil threads. The distribution of neuritic plaques varied widely not only within architectonic units but also from one individual to another. Neurofibrillary tangles and neuropil threads, in contrast, exhibited a characteristic distribution pattern permitting the differentiation of six stages. The first two stages were characterized by an either mild or severe alteration of the transentorhinal layer Pre-alpha (transentorhinal stages I-II). The two forms of limbic stages (stages III-IV) were marked by a conspicuous affection of layer Pre-alpha in both transentorhinal region and proper entorhinal cortex. In addition, there was mild involvement of the first Ammon's horn sector. The hallmark of the two isocortical stages (stages V-VI) was the destruction of virtually all isocortical association areas. The investigation showed that recognition of the six stages required qualitative evaluation of only a few key preparations.
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            Neural networks and physical systems with emergent collective computational abilities.

            J Hopfield (1982)
            Computational properties of use of biological organisms or to the construction of computers can emerge as collective properties of systems having a large number of simple equivalent components (or neurons). The physical meaning of content-addressable memory is described by an appropriate phase space flow of the state of a system. A model of such a system is given, based on aspects of neurobiology but readily adapted to integrated circuits. The collective properties of this model produce a content-addressable memory which correctly yields an entire memory from any subpart of sufficient size. The algorithm for the time evolution of the state of the system is based on asynchronous parallel processing. Additional emergent collective properties include some capacity for generalization, familiarity recognition, categorization, error correction, and time sequence retention. The collective properties are only weakly sensitive to details of the modeling or the failure of individual devices.
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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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                Author and article information

                Contributors
                j.p.n.fiorilli@uva.nl
                Journal
                Hippocampus
                Hippocampus
                10.1002/(ISSN)1098-1063
                HIPO
                Hippocampus
                John Wiley & Sons, Inc. (Hoboken, USA )
                1050-9631
                1098-1063
                01 February 2021
                July 2021
                : 31
                : 7 , Extrahippocampal Contributions to Hippocampal‐Dependent Memory ( doiID: 10.1002/hipo.v31.7 )
                : 737-755
                Affiliations
                [ 1 ] Cognitive and Systems Neuroscience Group, SILS Center for Neuroscience University of Amsterdam Amsterdam The Netherlands
                [ 2 ] Research Priority Area Brain and Cognition University of Amsterdam Amsterdam The Netherlands
                [ 3 ] Donders Institute for Brain, Cognition and Behavior Radboud University and Radboud University Medical Centre Nijmegen The Netherlands
                [ 4 ] Institute of Cognitive Neurology and Dementia Research Otto‐von‐Guericke University Magdeburg Magdeburg Germany
                [ 5 ] German Center for Neurodegenerative Diseases Magdeburg Germany
                [ 6 ] Institute of Cognitive Neuroscience University College London London UK
                Author notes
                [*] [* ] Correspondence

                Julien Fiorilli, Cognitive and Systems Neuroscience Group, SILS Center for Neuroscience, University of Amsterdam, Postbus 94246, 1090 GE Amsterdam, The Netherlands.

                Email: j.p.n.fiorilli@ 123456uva.nl

                Author information
                https://orcid.org/0000-0001-8328-1175
                Article
                HIPO23304
                10.1002/hipo.23304
                8359385
                33523577
                b881ac06-fb49-4f49-9694-001041577465
                © 2021 The Authors. Hippocampus published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 November 2020
                : 22 June 2020
                : 02 January 2021
                Page count
                Figures: 2, Tables: 0, Pages: 19, Words: 20761
                Funding
                Funded by: Alzheimer Nederland , doi 10.13039/501100010969;
                Funded by: Amsterdam Brain and Mind Project
                Funded by: H2020 European Research Council , doi 10.13039/100010663;
                Award ID: 833964
                Funded by: Horizon 2020 Framework Programme , doi 10.13039/100010661;
                Award ID: 945539
                Categories
                Review Article
                Review Articles
                Custom metadata
                2.0
                July 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.5 mode:remove_FC converted:12.08.2021

                Neurology
                contextual processing,hippocampus,multisensory integration,perirhinal cortex,spatial coding

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